具身智能 · 全部实体（第 87 / 100 页）

本页收录第 8601–8700 条，共 10000 条 · 返回 具身智能 首页

• An active visual estimator for dexterous manipulation
  We present a working implementation of a dynamics based architecture for visual sensing. This architecture provides field rate estimates of the positions and velocities of two independent falling balls in the face of repeated visual occlusions and departures f…
  openalex A.A. Rizzi, Daniel E. Koditschek 1996-01-01 置信度 0.72 SoundnessEstimatorComputer scienceArchitectureController (irrigation)
• Dexterous manipulation using both palm and fingers
  This paper focuses on the problem of manipulating the orientation of a polygonal object in hand. We propose a control technique which integrates the use of palm and fingers to pick up a given object on the table, to drop it on a specific spot on the palm, and …
  openalex Yunfei Bai, C. Karen Liu 2014-05-01 置信度 0.72 GRASPPalmComputer scienceDissipationOrientation (vector space)
• Learning Dexterous In-Hand Manipulation
  We use reinforcement learning (RL) to learn dexterous in-hand manipulation policies which can perform vision-based object reorientation on a physical Shadow Dexterous Hand. The training is performed in a simulated environment in which we randomize many of the …
  openalex OpenAI, Andrychowicz, Marcin, Baker, Bowen, Chociej, Maciek 等 2018-08-01 置信度 0.72 Reinforcement learningObject (grammar)Computer scienceShadow (psychology)Artificial intelligence
• Comparison of object-level grasp controllers for dynamic dexterous manipulation
  Object-level control of a dexterous robot hand provides an intuitive high-level interface to solve fine manipulation tasks. In the past, many algorithms were proposed based on a weighted pseudoinverse of the grasp map. In a different approach, Stramigioli intr…
  openalex Thomas Wimböck, Christian Ott, Alin Albu‐Schäffer, Gerd Hirzinger 2011-09-12 置信度 0.72 GRASPObject (grammar)Controller (irrigation)Control theory (sociology)Inertia
• Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
  Optimizing behaviors for dexterous manipulation has been a longstanding challenge in robotics, with a variety of methods from model-based control to model-free reinforcement learning having been previously explored in literature. Such prior work often require …
  openalex Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto 2023-05-29 置信度 0.72 ImitationComputer scienceHuman–computer interactionArtificial intelligencePsychology
• Deep Dynamics Models for Learning Dexterous Manipulation
  Dexterous multi-fingered hands can provide robots with the ability to flexibly perform a wide range of manipulation skills. However, many of the more complex behaviors are also notoriously difficult to control: Performing in-hand object manipulation, executing…
  openalex Anusha Nagabandi, Kurt Konoglie, Sergey Levine, Vikash Kumar 2019-09-25 置信度 0.72 Computer scienceTask (project management)Object (grammar)Artificial intelligenceControl (management)
• An underactuated hand for efficient finger-gaiting-based dexterous manipulation
  This paper presents a minimalist, four-finger hand comprised of two pairs of tendon-driven, underactuated fingers decoupled by an independent, central, rotating axis. This mechanical configuration allows for finger-gaiting while also retaining the passive adap…
  openalex R. Raymond, Aaron M. Dollar 2014-12-01 置信度 0.72 UnderactuationActuatorComputer scienceRobotic handSet (abstract data type)
• Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
  openalex Dafni Antotsiou, Guillermo Garcia-Hernando, Tae‐Kyun Kim 2019-01-01 置信度 0.72 RetargetingComputer scienceInverse kinematicsArtificial intelligenceGRASP
• Cartesian impedance control for dexterous manipulation
  In this work, a cartesian impedance controller purposely designed for dexterous manipulation is described. Based on the main features of the DLR Hand II, concerning kinematic structure and sensory equipment of fingers, this control strategy allows to overcome …
  openalex Luigi Biagiotti, HaiGe LIU, G. Hirzinger, Claudio Melchiorri 2004-03-30 置信度 0.72 Cartesian coordinate systemImpedance controlKinematicsControl theory (sociology)Electrical impedance
• Dexterous Manipulation of Cloth
  Abstract This paper introduces a new technique to synthesize dexterous manipulation of cloth. Given a simple description of the desired cloth motion, our algorithm computes appropriate joint torques for physically simulated hands, such that, via contact forces…
  openalex Yunfei Bai, Wenhao Yu, C. Karen Liu 2016-05-01 置信度 0.72 Computer scienceLaundryKinematicsTorqueSet (abstract data type)
• Grasp and dexterous manipulation of multi-fingered robotic hands: a review from a control view point
  Graphical Abstract
  openalex Ryuta Ozawa, Kenji Tahara 2017-08-29 置信度 0.72 GRASPRobotic handComputer sciencePoint (geometry)Control (management)
• From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation
  We propose to perform imitation learning for dexterous manipulation with multi-finger robot hand from human demonstrations, and transfer the policy to the real robot hand. We introduce a novel single-camera teleoperation system to collect the 3D demonstrations…
  openalex Yuzhe Qin, Hao Su, Xiaolong Wang 2022-08-22 置信度 0.72 TeleoperationImitationComputer scienceArtificial intelligenceRobot
• Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces
  In this paper, we propose a new method for the motion planning problem of rigid object dexterous manipulation with a robotic multi-fingered hand, under quasi-static movement assumption. This method computes both object and finger trajectories as well as the fi…
  openalex Jean-Philippe Saut, Anis Sahbani, Sahar El-Khoury, Véronique Perdereau 2007-10-01 置信度 0.72 GRASPComputer scienceProbabilistic logicLinear subspaceProbabilistic roadmap
• In-Hand Dexterous Manipulation of Piecewise-Smooth 3-D Objects
  We present an algorithm called finger tracking for in-hand manipulation of three-dimensional objects with independent robot fingers. We describe and analyze the differential control for finger tracking and extend it to on-line continuous control for a set of c…
  openalex Daniela Rus 1999-04-01 置信度 0.72 PiecewiseTracking (education)Computer scienceSet (abstract data type)Artificial intelligence
• Dexterous Manipulation Graphs
  We propose the Dexterous Manipulation Graph as a tool to address in-hand manipulation and reposition an object inside a robot's end-effector. This graph is used to plan a sequence of manipulation primitives so to bring the object to the desired end pose. This …
  openalex Silvia Cruciani, Christian Smith, Danica Kragić, Kaiyu Hang 2018-10-01 置信度 0.72 GrippersComputer scienceRobotRobot end effectorObject (grammar)
• Visual and Tactile Information About Object-Curvature Control Fingertip Forces and Grasp Kinematics in Human Dexterous Manipulation
  Most objects that we manipulate have curved surfaces. We have analyzed how subjects during a prototypical manipulatory task use visual and tactile sensory information for adapting fingertip actions to changes in object curvature. Subjects grasped an elongated …
  openalex Per Jenmalm, Seth Dahlstedt, Roland S. Johansson 2000-12-01 置信度 0.72 GRASPCurvatureComputer visionKinematicsArtificial intelligence
• On motion planning for dexterous manipulation. I. The problem formulation
  The authors formulate the dextrous manipulation problem for a robot hand. First, dextrous manipulation is decomposed into coordinated manipulation, rolling motion, sliding motion, and finger relocation. Then the authors develop motion constraints for each of t…
  openalex Zexiang Li, John Canny, S. Shankar Sastry 2003-01-07 置信度 0.72 Motion (physics)HolonomicMotion planningComputer scienceLift (data mining)
• Evaluation of Hand-Tracking Systems in Teleoperation and Virtual Dexterous Manipulation
  The quality of robotic dexterous manipulation, in real or in virtual environments, relies on a fine control of the fingertips to perform stable grasps and inside-hand manipulation. In practice, teleoperating a robotic hand requires to capture the human hand co…
  openalex C. Mizera, Thibault Delrieu, Vincent Weistroffer, Claude Andriot 等 2019-10-15 置信度 0.72 TeleoperationMotion captureComputer visionAvatarArtificial intelligence
• Dynamic Use of Tactile Afferent Signals in Control of Dexterous Manipulation
  openalex Roland S. Johansson 2002-01-01 置信度 0.72 Sensory systemObject (grammar)Computer scienceTactile sensorAfferent
• Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs
  Quadrupedal robots are skillful at locomotion tasks while lacking manipulation skills, not to mention dexterous manipulation abilities. Inspired by the animal behavior and the duality between multi-legged locomotion and multi-fingered manipulation, we showcase…
  openalex Fan Shi, Timon Homberger, Joonho Lee, Takahiro Miki 等 2021-05-30 置信度 0.72 QuadrupedalismRobotComputer scienceReinforcement learningArtificial intelligence
• DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
  openalex Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang 等 2024-07-15 置信度 0.72 Computer scienceScalabilityHuman–computer interactionData collectionComputer graphics (images)
• A Dexterous Soft Robotic Hand for Delicate In-Hand Manipulation
  In this letter, we show that soft robotic hands provide a robust means of performing basic primitives of in-hand manipulation in the presence of uncertainty. We first discuss the design of a prototype hand with dexterous soft fingers capable of moving objects …
  openalex Sylvain Abondance, Clark B. Teeple, Robert J. Wood 2020-07-07 置信度 0.72 Computer scienceArtificial intelligenceComputer visionObject (grammar)Robotic hand
• Dexterous manipulation planning and execution of an enveloped slippery workpiece
  When robotic hands or arms are capable of enveloping the workpieces that they manipulate, envelopment of the workpiece ensures grasp maintenance even if the object experiences significant external forces in directions unknown prior to grasp synthesis. The enve…
  openalex Jeff Trinkle, Ranganathan Charath Ram, A.O. Farahat, Peter F. Stiller 2002-12-30 置信度 0.72 GRASPPlan (archaeology)Task (project management)Computer scienceStability (learning theory)
• End-to-end dexterous manipulation with deliberate interactive estimation
  This paper presents a model based approach to autonomous dexterous manipulation, developed as part of the DARPA Autonomous Robotic Manipulation (ARM) program. The developed autonomy system uses robot, object, and environment models to identify and localize obj…
  openalex Nicolas Hudson, Thomas M. Howard, Jeremy Ma, Abhinandan Jain 等 2012-05-01 置信度 0.72 Computer scienceTask (project management)Human–computer interactionRobotPlan (archaeology)
• TRIDENT: A Framework for Autonomous Underwater Intervention Missions with Dexterous Manipulation Capabilities
  openalex Pedro J. Sanz, Pere Ridao, Gabriel Oliver, Claudio Melchiorri 等 2010-01-01 置信度 0.72 TridentIntervention (counseling)UnderwaterEuropean commissionEngineering
• Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning
  Dexterous manipulation of objects in virtual environments with our bare hands, by using only a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. While virtual environments are ruled by physics, e.g. object weights and surface fr…
  openalex Guillermo Garcia-Hernando, Edward Johns, Tae‐Kyun Kim 2020-10-24 置信度 0.72 Reinforcement learningComputer scienceTask (project management)Artificial intelligenceHuman–computer interaction
• FEM-Based Deformation Control for Dexterous Manipulation of 3D Soft Objects
  In this paper, a method for dexterous manipulation of 3D soft objects for real-time deformation control is presented, relying on Finite Element modelling. The goal is to generate proper forces on the fingertips of an anthropomorphic device during in-hand manip…
  openalex Fanny Ficuciello, Anna Migliozzi, Eulalie Coevoet, A. Petit 等 2018-10-01 置信度 0.72 Finite element methodComputer scienceDeformation (meteorology)Control (management)Computer vision
• The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation
  In this work, we present a new software environment for the comparative evaluation of algorithms for grasping and dexterous manipulation. The key aspect in its development is to provide a tool that allows the reproduction of well-defined experiments in real-li…
  openalex Stefan Ulbrich, Daniel Kappler, Tamim Asfour, Nikolaus Vahrenkamp 等 2011-09-01 置信度 0.72 BenchmarkingSuiteComputer scienceArtificial intelligenceHuman–computer interaction
• Learning Dexterous Manipulation Policies from Experience and Imitation
  We explore learning-based approaches for feedback control of a dexterous five-finger hand performing non-prehensile manipulation. First, we learn local controllers that are able to perform the task starting at a predefined initial state. These controllers are …
  openalex Vikash Kumar, Abhishek Gupta, Emanuel Todorov, Sergey Levine 2016-11-15 置信度 0.72 Computer scienceTeleoperationTrajectoryArtificial intelligenceTask (project management)
• DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
  To enable general-purpose robots, we will require the robot to operate daily articulated objects as humans do. Current robot manipulation has heavily relied on using a parallel gripper, which restricts the robot to a limited set of objects. On the other hand, …
  openalex Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang 2023-06-01 置信度 0.72 Computer scienceArtificial intelligenceRobotBenchmarkingBenchmark (surveying)
• Elongatable Gripper Fingers With Integrated Stretchable Tactile Sensors for Underactuated Grasping and Dexterous Manipulation
  The ability to grasp a wider range of objects in size and shape directly relates to the performance of robotic grippers. Adapting to complex geometries of objects requires large degrees of freedom to allow complex configurations. However, complexity in control…
  openalex Sohee John Yoon, Minsik Choi, Bomin Jeong, Yong‐Lae Park 2022-02-07 置信度 0.72 UnderactuationRevolute jointGrippersGRASPTactile sensor
• Tactile Sensors for Friction Estimation and Incipient Slip Detection—Toward Dexterous Robotic Manipulation: A Review
  Humans can handle and manipulate objects with ease; however, human dexterity has yet to be matched by artificial systems. Receptors in our fingers and hands provide essential tactile information to the motor control system during dexterous manipulation such th…
  openalex Wei Chen, Heba Khamis, Ingvars Birznieks, Nathan F. Lepora 等 2018-09-03 置信度 0.72 GRASPSlip (aerodynamics)Tactile sensorComputer scienceVibration
• Dexterous manipulation and control with volumetric muscles
  We propose a framework for simulation and control of the human musculoskeletal system, capable of reproducing realistic animations of dexterous activities with high-level coordination. We present the first controllable system in this class that incorporates vo…
  openalex Seung-Hwan Lee, Ri Yu, Jungnam Park, Mridul Aanjaneya 等 2018-07-30 置信度 0.72 Computer scienceController (irrigation)ActuatorTrajectoryCurse of dimensionality
• Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
  In-hand manipulation of objects is an important capability to enable robots to carry-out tasks which demand high levels of dexterity. This work presents a robot systems approach to learning dexterous manipulation tasks involving moving objects to arbitrary 6-D…
  openalex Arthur Allshire, Mayank MittaI, Varun Lodaya, Viktor Makoviychuk 等 2022-10-23 置信度 0.72 Computer scienceReinforcement learningWorkspaceCodebaseRobot
• Tactile sensing in dexterous robot hands — Review
  openalex Zhanat Kappassov, Juan Antonio Corrales Ramón, Véronique Perdereau 2015-07-28 置信度 0.72 GRASPTactile sensorComputer scienceRobotExploit
• Recognition of dexterous manipulations from time-varying images
  This paper presents a method for recognizing dexterous manipulation actions that we usually perform using our hands. Our method is based on model representation using spatio-temporal vector fields and a spotting algorithm that gives segmentation-free and frame…
  openalex Kazutoshi Takahashi, Shogo Seki, E. Kojima, R. Oka 2002-12-17 置信度 0.72 SpottingArtificial intelligenceComputer scienceComputer visionFrame (networking)
• Dexterous Manipulation of Origami Cartons With Robotic Fingers Based on the Interactive Configuration Space
  This paper investigates the equivalent mechanism structure of origami cartons and for the first time proposes a quantitative model of cartons and the interactive configuration space for folding origami cartons. With an analysis of the equivalent mechanism, gus…
  openalex Wei Yao, Jian S. Dai 2007-12-27 置信度 0.72 CartonFolding (DSP implementation)KinematicsKinematic chainConfiguration space
• A Reconfigurable Gripper for Dexterous Manipulation in Flexible Assembly
  In this paper, a high-speed multi-fingered reconfigurable gripper is presented. The aim is to create a robotic end effector that is capable of handling parts of different geometries and weight. It consists of three fingers, accounting for a total of eight Degr…
  openalex Jason Spiliotopoulos, George Michalos, Sotiris Makris 2018-01-10 置信度 0.72 GRASPControl reconfigurationDegrees of freedom (physics and chemistry)GrippersSimplicity
• Trends and challenges in robot manipulation
  Dexterous manipulation is one of the primary goals in robotics. Robots with this capability could sort and package objects, chop vegetables, and fold clothes. As robots come to work side by side with humans, they must also become human-aware. Over the past dec…
  openalex Aude Billard, Danica Kragić 2019-06-20 置信度 0.72 GrippersRobotRoboticsArtificial intelligenceComputer science
• Contact Mode Guided Motion Planning for Quasidynamic Dexterous Manipulation in 3D
  This paper presents Contact Mode Guided Manipulation Planning (CMGMP) for 3D quasistatic and quasi-dynamic rigid body motion planning in dexterous manipulation. The CMGMP algorithm generates hybrid motion plans including both continuous state transitions and d…
  openalex Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason 2022-05-23 置信度 0.72 Motion (physics)Computer scienceKey (lock)Object (grammar)Plan (archaeology)
• Independent trapping and manipulation of microparticles using dexterous acoustic tweezers
  An electronically controlled acoustic tweezer was used to demonstrate two acoustic manipulation phenomena: superposition of Bessel functions to allow independent manipulation of multiple particles and the use of higher-order Bessel functions to trap particles …
  openalex C. R. P. Courtney, Christine Démoré, Hongxiao Wu, A. Grinenko 等 2014-04-14 置信度 0.72 Optical tweezersTweezersSuperposition principleSPHERESBessel function
• Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation
  In this paper, we present a novel method for achieving dexterous manipulation of complex objects, while simultaneously securing the object without the use of passive support surfaces.We posit that a key difficulty for training such policies in a Reinforcement …
  openalex Gagan Khandate, Siqi Shang, Eric T. Chang, Tristan L. Saidi 等 2023-07-10 置信度 0.72 Reinforcement learningComputer scienceSampling (signal processing)Artificial intelligenceReinforcement
• Technical architecture for integrating vision-language models with DICOM viewers.
  Integrating vision-language models (VLMs) into clinical radiology workflows requires exporting two-dimensional images that preserve diagnostic viewing context, including imaging plane, slice position, window/level, slab parameters, and overlays. Existing appro…
  pubmed Albera M, Colarieti A, Albera I, Carriero A 2026 Jul 1 置信度 0.82
• Efficient spatio-temporal modeling for human action recognition from RGB streams using unitary temporal encoding and adaptive consistency refinement.
  The problem of Human Action Recognition (HAR) continues to be difficult with the intricate temporal interactions, superfluous frames, and minor visual variations that usually define similar actions. A large number of current approaches are based on either tran…
  pubmed Majid A, Wang Y, Aqsa, Xing Z 等 2026 Jun 30 置信度 0.82
• SR-VLN: Implicit Spatial Reasoning Vision-and-Language Navigation.
  Vision-and-language navigation (VLN) traditionally relies on explicit reasoning chains, which, despite being interpretable, impose severe constraints on inference efficiency and scalability in long-range environments. Existing multimodal large language models …
  pubmed Zhu R, Li S, Yang M 2026 Jun 15 置信度 0.82
• STAMP: Spatial-Temporal Anchored Motion Planning for Zero-Shot Continuous Vision-and-Language Navigation.
  Vision-and-Language Navigation in continuous environments (VLN-CE) requires embodied agents to ground natural language instructions into reliable long-horizon motion decisions under partial observability. Despite their strong semantic understanding and reasoni…
  pubmed Liu T, Qi X, Wang L, Li J 等 2026 Jun 10 置信度 0.82
• SurgCheck: Do vision-language models really look at images in surgical VQA?
  Vision-language models (VLMs) have shown promising performance in surgical visual question answering (VQA). However, existing surgical VQA datasets often contain linguistic shortcuts, where question phrasing implicitly constrains the answer space. In safety-cr…
  pubmed Shin J, Kim KY, Cho E, Kim ST 等 2026 Jun 18 置信度 0.82
• Sensing the Action: Rethinking Sensor Modalities and Multi-Modal Fusion in Vision-Language-Action Models for Robotic Manipulation.
  Recent Vision-Language-Action (VLA) models have rapidly emerged as general-purpose robotic policies that integrate language understanding, visual perception, and robot control. However, prior studies and surveys have primarily emphasized backbone architectures…
  pubmed Ko BC 2026 Jun 3 置信度 0.82
• How can reasoning capability empower the AI copilot robot in endoscopic surgery.
  Reasoning capability has significantly advanced complex logical inference and robotic decision-making in general domains. However, its potential in the Artificial Intelligence (AI) copilot robot—particularly implemented based on the Vision-Language-Acti…
  pubmed Wang G, Bai L, Ren H 2026 Jun 11 置信度 0.82
• Vision-language models for occupational physical exposure assessment: Classification and temporal segmentation of manual material handling tasks.
  Effective physical exposure assessment for manual materials handling (MMH) is essential for identifying activities that increase the risk of work-related musculoskeletal disorders and for guiding ergonomic interventions. However, existing methods are labor-int…
  pubmed Rajabi MS, Ojelade A, Kim S, Nussbaum MA 2026 Jun 5 置信度 0.82
• Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.
  Embodied navigation and manipulation are fundamental capabilities for embodied agents operating in physical environments. A key challenge in this process is understanding the spatial context and the affordances of the environment, which involves recognizing ho…
  pubmed Hao X, Tang Y, Zhang L, Chen L 等 2026 置信度 0.82
• Exploring large language model applications in dance education from an educational psychology perspective.
  This study proposes a psychology informed framework for exploring the application of large language models (LLMs) in dance education. To address the limited personalization of traditional dance instruction and its insufficient adaption to learners' cognitive a…
  pubmed Zhao L, Huang Q, Zhou K, Teng L 等 2026 置信度 0.82
• Sensorimotor Complexity and Cognition as Predictors of Primate Brain Size.
  As animal brain size increases, cognitive performance generally increases. However, other key brain functions, such as the regulation of somatic processes, processing of sensory input, and planning and initiation of motor actions, are also closely tied to brai…
  pubmed Song Z, Heldstab SA, Kay RF, Kirk EC 等 2026 Jun 置信度 0.82
• Uncertainty-Calibrated Safety Gating for Vision-Language- Action Manipulation Under Domain Shift: Reliability Gains and Intervention-Efficiency Trade-Offs.
  Vision-Language-Action (VLA) policies promise flexible long-horizon manipulation, but deployment under domain shift requires both reliable uncertainty estimates and a workable runtime-assurance policy. We study a model-agnostic uncertainty-calibrated safety-ga…
  pubmed Ghaleb AM, Allahloh AS, Mejjaouli S, Ali MAH 等 2026 May 15 置信度 0.82
• One brain, one mind: A joint EPA-EAN leadership perspective on brain health.
  Neurology and psychiatry have operated as separate disciplines for over a century, yet this division reflects historical and institutional developments rather than the underlying biology of the brain. Contemporary neuroscience shows that brain and mental healt…
  pubmed Bègue I, Mohr P, Bassetti CLA, Fiorillo A 等 2026 May 25 置信度 0.82
• Updated trends in the global prevalence and burden of mental disorders, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023.
  The 2023 iteration of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimated prevalence, incidence, and health burden for 375 diseases and injuries, including 12 mental disorders. We assess past, current, and emerging trends in the pre…
  pubmed GBD 2023 Mental Disorder Collaborators 2026 May 23 置信度 0.82
• Hybrid reasoning for perception, explanation, and autonomous action in manufacturing.
  Industrial processes must operate robustly in unpredictable environments, where errors are costly and difficult to detect. AI-based control systems offer a path forward but typically rely on large, labeled datasets, limiting their generalization to variable, d…
  pubmed Margadji C, Pattinson SW 2026 May 18 置信度 0.82
• Standardization of surgical gesture taxonomy: a SAGES Delphi consensus study.
  Artificial intelligence (AI) for surgical workflow analysis often fails to generalize because surgical actions lack a standardized, fine-grained representation. Gesture-level "tokenization" of surgery, capturing instrument-tissue interactions as the smallest i…
  pubmed Morais MC, Godbole AA, Iqbal E, Ballo M 等 2026 Jun 置信度 0.82
• Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views.
  Forecasting how human hands move in egocentric views is critical for applications like augmented reality, human-robot policy transfer, and service/assistive technologies. Recently, several hand trajectory prediction (HTP) methods have been developed to generat…
  pubmed Ma J, Bao W, Xu J, Sun G 等 2026 May 13 置信度 0.82
• MVHumanNet++: A Large-scale Dataset of Multi-view Daily Dressing Human Captures with Richer Annotations for 3D Human Digitization.
  In this era, the success of large language models and text-to-image models can be attributed to the driving force of large-scale datasets. However, in the realm of 3D vision, while significant progress has been achieved in object-centric tasks through large-sc…
  pubmed Li C, Liao H, Zhi Y, Yang X 等 2026 May 8 置信度 0.82
• Hierarchical Prototype Alignment for Video Temporal Grounding.
  Recent advances in vision-language cross-modal learning have substantially improved the performance of video temporal grounding. However, most existing methods directly associate global video features with sentence-level features, overlooking the fact that tex…
  pubmed Tian Y, Guo X, Wang J, Zhao Y 等 2026 Apr 1 置信度 0.82
• ActionX: pre-training action experts with reinforcement learning for vision-language action models.
  Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches heavily rely on large-scale human demonstration datasets, whi…
  pubmed Yi T, Yang Q, Chen E 2026 置信度 0.82
• A Survey on Vision--Language--Action Models for Embodied AI.
  Embodied AI is widely recognized as a cornerstone of artificial general intelligence (AGI) because it involves controlling embodied agents to perform tasks in the physical world. Building on the success of large language models (LLMs) and vision-language model…
  pubmed Ma Y, Song Z, Zhuang Y, Hao J 等 2026 Jul 置信度 0.82
• Population health management fit lifecycles in analytics.
  "Population Health Management (PHM), Fit Lifecycles in Analytics" examines the policy and practice of AI-driven methodologies to enhance public health and patient safety in the context of the Human Phenotype Ontology (HPO). It aims for personalized healthcare …
  pubmed Henry JA 2025 置信度 0.82
• Vision-Language Collaborative Representation Learning for Action Quality Assessment.
  Action Quality Assessment (AQA) has gained significant attention due to its potential real-world applications, which require a fine-grained understanding of action sequences. Recent works have attempted to utilize multimodal video features and address some exi…
  pubmed Gedamu K, Ji Y, Zuo W, Bentahar J 等 2026 置信度 0.82
• FRMD: fast robot motion diffusion via trajectory-level consistency distillation.
  Foundation models for embodied artificial intelligence (Embodied AI) increasingly adopt diffusion modules as the action generation core of vision-language-action (VLA) policies, but the diffusion module's iterative denoising imposes prohibitive inference laten…
  pubmed Shi X, Hu Y, Jin J 2026 置信度 0.82
• VLM-Nav: Mapless UAV navigation using monocular vision driven by vision-language models.
  Autonomous vehicles, such as Unmanned Aerial Vehicles (UAVs), have the potential to completely reshape various industries such as parcel delivery, agriculture, surveillance, monitoring, and search-and-rescue missions. Consequently, the demand for safe, cost-ef…
  pubmed Sarker GC, Azad A, Rahman S, Hasan MM 2026 置信度 0.82
• Recent advances in computational antimicrobial peptide discovery through big data, modeling, and artificial intelligence and their interplay in ushering the next golden era of drug development.
  The accelerating antimicrobial resistance (AMR) crisis continues to render more and more conventional antibiotics ineffective. Antimicrobial peptides (AMPs) are promising alternatives to traditional antibiotics due to their broad-spectrum activity, diverse mec…
  pubmed Ibisanmi TA, Jiang X, Willcox M, Kumar N 2026 置信度 0.82
• Talking with Actionbits-A Part-Enhanced VLM for Action and Interaction Recognition in Animals.
  Understanding animal actions and interactions is essential for behavior analysis and ecological monitoring. Although large-scale in-the-wild datasets have advanced animal action recognition, existing methods still struggle with fine-grained motion, spatial rel…
  pubmed Yang Y, Nakagawa R, Shinoda R, Santo H 等 2026 Mar 21 置信度 0.82
• Vision-Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization.
  Reliable fault detection along transmission corridors is essential for preventing small defects from developing into long outages and costly emergency operations. This study aims to improve the field reliability of an open vocabulary vision language backbone w…
  pubmed Yu R, Mai L, Weng Y, Cui Q 等 2026 Feb 28 置信度 0.82
• Twiddling Bits.
  Among the many excellent presentations and posters of this conference, I was tasked with making sense of two of the most esoteric. This is my meat and potatoes. I hasten to add that they are not esoteric because they are peripheral; au contraire , they are cen…
  pubmed Killeen PR 2026 Mar 置信度 0.82
• Stable Diffusion Models Reveal a Persisting Human-AI Gap in Visual Creativity.
  While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non-Artists) and using an…
  pubmed Rondini S, Alvarez-Martin C, Angermair-Barkai P, Penacchio O 等 2026 May 置信度 0.82
• Towards Unconstrained Fall Detection Using Vision Language Model: Dataset, Theory and Practices.
  Unconstrained fall detection is essential for real-world applications. However, it remains underexplored due to the scarcity of real-world fall data and the limited generalization ability of existing methods. To address these challenges, we first introduce HUS…
  pubmed Wu S, Chen T, Zha Z, Wu B 等 2026 Mar 23 置信度 0.82
• Out-of-Sight Embodied Agents: Multimodal Tracking, Sensor Fusion, and Trajectory Forecasting.
  Trajectory prediction is a fundamental problem in computer vision, vision-language-action models, world models, and autonomous systems, with broad impact on applications including autonomous driving, robotics, and surveillance. Most existing approaches assume …
  pubmed Zhang H, Xu Y, Fu Y 2026 Aug 置信度 0.82
• From Molecular Cleavage to Clinical Effect: A Probabilistic Field Model of Botulinum Toxin Action.
  Botulinum toxin (BoNT) is a highly specific molecular enzyme whose therapeutic action is based on the proteolytic cleavage of SNARE proteins, most notably SNAP-25. Despite the deterministic nature of this molecular mechanism, the clinical effects of BoNT exhib…
  pubmed Armenti AF, Armenti F 2026 Mar 9 置信度 0.82
• ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.
  Video temporal grounding, including moment retrieval and highlight detection, is an emerging topic aiming to identify specific clips within videos. In addition to pre-trained video models, contemporary methods utilize pre-trained vision-language models (VLMs) …
  pubmed Wang Y, Jiang X, Cheng D, Li D 等 2026 置信度 0.82
• CA-VLN: Collaborative Agents in MLLM-Powered Visual-Language Navigation.
  Generalization to unseen environments remains a fundamental challenge in Vision-Language Navigation. To tackle this issue, we propose a novel framework that leverages world knowledge embedded within Multimodal Large Language Models. We introduce Collaborative …
  pubmed Zhu R, Li S, Zhu Z, Jia J 等 2026 Feb 14 置信度 0.82
• Visio-verbal teleimpedance interface: enabling semi-autonomous control of physical interaction via eye tracking and speech.
  The paper presents a visio-verbal teleimpedance interface for commanding 3D stiffness ellipsoids to the remote robot with a combination of the operator's gaze and verbal interaction. The gaze is detected by an eye-tracker, allowing the system to understand the…
  pubmed Jekel HHA, Díaz Rosales A, Peternel L 2026 置信度 0.82
• SurgLaVi: Large-scale hierarchical dataset for surgical vision-language representation learning.
  Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and transfer across tasks without relying on expert-labeled datasets. However, progress in surgical VLP remains c…
  pubmed Perez A, Nwoye C, Raji Kermani R, Mohareri O 等 2026 May 置信度 0.82
• Procedure-Aware Hierarchical Alignment for Open Surgery Video-Language Pretraining.
  Recent advances in surgical robotics and computer vision have greatly improved intelligent systems' autonomy and perception in the operating room (OR), especially in endoscopic and minimally invasive surgeries. However, for open surgery, which is still the pre…
  pubmed Xu B, Wu J, Liang J, Sun Z 等 2026 置信度 0.82
• Transitioning to a Flexible, Tiered, Developmentally Informed Same-Day Screening Model for Preschoolers in Low-Resource Settings.
  The preschool years (ages 3-5) represent a critical window for promoting development and lifelong health. However, in many low-resource settings, developmental delays, sensory impairments and emerging health risks often go undetected. Although early, integrate…
  pubmed Smith R, Jordaan EM, Russell DC, de Milander M 等 2026 Mar 置信度 0.82
• Empowering liver cancer diagnosis and treatment with foundation models: technological innovation and clinical practice.
  Foundation Models (FMs) are profoundly transforming the clinical management pathway for liver cancer. Their core value lies in enhancing diagnostic accuracy, enabling personalized therapeutic decision-making, and optimizing clinical efficiency through the inte…
  pubmed Wang J, Xue S, Xia H, Cui P 等 2026 Jan 29 置信度 0.82
• Multimodal learning with next-token prediction for large multimodal models.
  Developing a unified algorithm that can learn from and generate across modalities such as text, images and video has been a fundamental challenge in artificial intelligence. Although next-token prediction has driven major advances in large language models 1 , …
  pubmed Wang X, Cui Y, Wang J, Zhang F 等 2026 Feb 置信度 0.82
• Autonomous language-image generation loops converge to generic visual motifs.
  Autonomous AI-to-AI creative systems promise new frontiers in machine creativity, yet we show that they systematically converge toward generic outputs. We built iterative feedback loops between Stable Diffusion XL (SDXL; image generation) and Large Language an…
  pubmed Hintze A, Proschinger Åström F, Schossau J 2026 Jan 9 置信度 0.82
• Hybrid net powered large scale audit of dataset licensing and attribution practices for enhanced transparency and compliance.
  In the era of data-driven research and artificial intelligence, proper dataset licensing and attribution practices are crucial for legal compliance and ethical data usage. Open-access datasets are often shared under various licensing schemes, such as Creative …
  pubmed Ayyamperumal V, Aswath S, Vignesh S, Thamaraimanalan T 2026 Jan 22 置信度 0.82
• Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models.
  The growing demand for therapeutic support increasingly exceeds the capacity of available professionals. A virtual agent capable of performing motivational interviewing (MI) offers a promising solution to assist patients in reaching their goal of behavior chan…
  pubmed Galland L, Younsi N, Baudonne C, Chaby L 等 2025 Dec 23 置信度 0.82
• Integration of large vision language models for efficient post-disaster damage assessment and reporting.
  Traditional natural disaster response involves significant coordinated teamwork, where speed and efficiency are key. Nonetheless, human limitations can delay critical actions and inadvertently increase human and economic losses. Agentic Large Vision Language M…
  pubmed Chen Z, Asadi Shamsabadi E, Jiang S, Shen L 等 2026 Jan 10 置信度 0.82
• Cross-Modality Alignment Perception and Multi-Head Self-Attention Mechanism for Vision-Language-Action of Humanoid Robot.
  For a humanoid robot, it is difficult to predict a motion trajectory through end-to-end imitation learning when performing complex operations and multi-step processes, leading to jittering in the robot arm. To alleviate this problem and reduce the computationa…
  pubmed Ren B, Shi D 2025 Dec 26 置信度 0.82
• Artificial Intelligence in Healthcare: A Narrative Review of Recent Clinical Applications, Implementation Strategies, and Challenges.
  Clinical documentation demands are increasingly eroding clinician time and morale. Large language models (LLMs) are emerging as practical allies, drafting notes in real-time and laying the groundwork for decision support. This narrative review examines both re…
  pubmed Elechi U, Orobator ET, Udoh K, Ngozi EO 等 2025 置信度 0.82
• Developing emergency care systems in low-income and middle-income countries: a scoping review to examine the role of leadership and governance.
  More knowledge and resources are required to strengthen 'leadership and governance' (L+G) as a central building block to further develop emergency care (EC) systems in low-income and middle-income countries (LMICs).
  pubmed Phillips G, Sharma D, O'Reilly G, Romero L 等 2025 Dec 19 置信度 0.82
• Interactive image-to-video transfer learning.
  Transfer learning from image to video has become a widely adopted strategy in action recognition. Existing mainstream approaches typically fine-tune the entire network after initialising with pre-trained parameters, which inevitably leads to substantial traini…
  pubmed Wu C, Xu T, Feng Z, Wu XJ 等 2026 Apr 置信度 0.82
• Toward Accurate Procedure Planning in Instructional Videos: Visual State Generation Helps Task-Selective Diffusion.
  Procedure planning in instructional videos entails predicting an action sequence that transitions a given start state to a desired goal state. This task is particularly challenging due to two key sources of uncertainty: limited visual observations and an enorm…
  pubmed Fang F, Yang M, Wu M, Yang Y 等 2026 Apr 置信度 0.82
• Will multimodal large language models ever achieve deep understanding of the world?
  Despite impressive performance in various tasks, large language models (LLMs) are subject to the symbol grounding problem, so from the cognitive science perspective, one can argue that they are merely statistics-driven distributional models without a deeper un…
  pubmed Farkaš I, Vavrečka M, Wermter S 2025 置信度 0.82
• Assistive communication system using deep sparse autoencoder with feature learning to assist people with hearing disabilities.
  Hearing loss is a sensory damage, a hidden disability that affects numerous adults globally. However, gesture recognition plays a significant role in overcoming several problems and challenges in human life, particularly for persons with hearing impairments an…
  pubmed Maashi M, Aljohani N, Alsahafi YA, Rizwanullah M 2025 Dec 2 置信度 0.82
• Agentic Lab: An Agentic-physical AI system for cell and organoid experimentation and manufacturing.
  Reproducibility in biological research and manufacturing remains constrained by the complexity of multi-step protocols, fragmented data-analysis pipelines, and the intrinsic variability of experimental execution. Here, we present Agentic Lab, an agentic-physic…
  pubmed Wang W, Swain S, Lee J, Lin Z 等 2025 Nov 13 置信度 0.82
• MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos.
  Understanding human intentions and actions through egocentric videos is important on the path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand trajectory prediction plays a vital role in comprehending human motion patterns…
  pubmed Ma J, Chen X, Bao W, Xu J 等 2026 Mar 置信度 0.82
• Modeling the Internal and Contextual Attention for Self-Supervised Skeleton-Based Action Recognition.
  Multimodal contrastive learning has achieved significant performance advantages in self-supervised skeleton-based action recognition. Previous methods are limited by modality imbalance, which reduces alignment accuracy and makes it difficult to combine importa…
  pubmed Xin W, Teng Y, Zhang J, Liu Y 等 2025 Oct 23 置信度 0.82
• Chat2Layout: Interactive 3D Furniture Layout With a Multimodal LLM.
  Automatic furniture layout is long desired for convenient interior design. Leveraging the remarkable visual reasoning capabilities of multimodal large language models (MLLMs), recent methods address layout generation in a static manner, lacking the feedback-dr…
  pubmed Wang C, Zhong H, Chai M, He M 等 2026 Feb 置信度 0.82
• Foundations of Livestock Behavioral Recognition: Ethogram Analysis of Behavioral Definitions and Its Practices in Multimodal Large Language Models.
  Computer vision offers a promising approach to automating the observation of animal behavior, thereby contributing to improved animal welfare and precision livestock management. However, the absence of standardized behavioral definitions limits the accuracy an…
  pubmed Zhou S, Li W, Zhou M, Dilger RN 等 2025 Oct 19 置信度 0.82
• VLA-MP: A Vision-Language-Action Framework for Multimodal Perception and Physics-Constrained Action Generation in Autonomous Driving.
  Autonomous driving in complex real-world environments requires robust perception, reasoning, and physically feasible planning, which remain challenging for current end-to-end approaches. This paper introduces VLA-MP, a unified vision-language-action framework …
  pubmed Ge M, Ohtani K, Niu Y, Zhang Y 等 2025 Oct 5 置信度 0.82