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• DRAMA, a connectionist architecture for online learning and control of autonomous robots: experiments on learning of a synthetic proto‐language with a doll robot
  crossref Aude Billard 2002-07-27T02:11:04Z 置信度 0.70
• Learning perception and control for robot intelligence
  crossref Siyi Li 2019-09-26T22:33:36Z 置信度 0.70
• Robot Kinematics and Dynamics
  crossref 2021-10-02T13:40:50Z 置信度 0.70
• Implementing Associative Learning Using Neuromorphic Robot
  crossref Vinay Kumar Pillalamarri 2025-01-16T18:56:32Z 置信度 0.70
• Mobile-Robot Motion Control
  crossref Wyatt S. Newman 2018-12-15T13:07:09Z 置信度 0.70
• A LEARNING CONCEPT FOR IMPROVING ROBOT FORCE CONTROL
  crossref F. Lange 2014-07-01T12:19:19Z 置信度 0.70
• Robot learning in science fiction.
  europepmc 2019 置信度 0.80
• Extending robot minds through collective learning
  The current trend toward generalist robot behaviors with monolithic artificial intelligence (AI) models is unsustainable. I advocate for a paradigm shift that embraces distributed architectures for collective robotic intelligence. A modular “mixture-of-robots”…
  crossref Amanda Prorok 2025-09-24T17:58:20Z 置信度 0.70
• Dexterity: Analogy Learning to Expand Robot Skill Sets
  crossref Changliu Liu, Te Tang, Hsien-Chung Lin, Masayoshi Tomizuka 2020-01-08T15:57:38Z 置信度 0.70
• Sampling Efficiency in Learning Robot Motion
  crossref Adrià Colomé, Carme Torras 2019-08-27T09:02:52Z 置信度 0.70
• Machine learning based interaction force prediction in multi-disk continuum robot arms for human-robot collaboration
  Abstract Accurate prediction of interaction forces in robotic manipulators is critical for safe human-robot collaboration and precise manipulation. Multi-disk continuum robot arms present unique modelling challenges owing to high degrees of freedom, complex me…
  crossref Jigneshkumar P. Desai 2026-06-24T00:48:18Z 置信度 0.70
• Robot Learning
  crossref Zhi Yan 2025-07-22T05:47:12Z 置信度 0.70
• Learning to communicate and coordinate : distributed learning-based control for multi-robot systems
  Apprendre à communiquer et à se coordonner : contrôle distribué basé sur l’apprentissage pour les systèmes multi-robots Les systèmes multi-robots constituent une classe centrale de systèmes multi-agents, où plusieurs robots coopèrent pour accomplir des tâches …
  crossref Antonio Marino 2026-04-09T09:20:33Z 置信度 0.70
• The Human-Robot Interactive Reinforcement Learning for Robot Navigation of The Factory Transportation System in Grid World Environment
  In order to improve the learning ability of robot in factory transportation system and speed up the learning cycle for robots to deal with the changing environment, on the basis of investigating the current research work of robot navigation in factory transpor…
  crossref Xumin Gao 2025-10-30T23:19:47Z 置信度 0.70
• Trajectory Control of RLED Robot Manipulators Using a New Type of Learning Rule
  crossref Huseyin Canbolat 2012-03-23T15:42:42Z 置信度 0.70
• Learning Algorithm Design for Human-Robot Skill Transfer
  crossref Chunxu Li 2019-10-17T12:32:28Z 置信度 0.70
• Associative Learning
  crossref 2012-07-18T11:24:03Z 置信度 0.70
• A Human-Robot Interface With Supervised Learning
  Using supervised learning techniques to analyze the data gathered from human participants in a lab.
  crossref Dozie Ubosi 2021-07-07T10:04:08Z 置信度 0.70
• Deep Learning for Robot Perception and Cognition
  crossref 2022-02-11T07:33:48Z 置信度 0.70
• Human sensorimotor learning for robot skill synthesis
  crossref Erhan Oztop 2010-10-12T11:44:35Z 置信度 0.70
• Using reinforcement learning in multi-robot SLAM
  crossref Pierre Dinnissen 2018-10-04T20:15:19Z 置信度 0.70
• Reinforcement learning applied to robot navigation
  Path planning is a key aspect of autonomous navigation, especially for autonomous vehicles, where different priorities such as path length, safety, and energy consumption must be considered. Traditional approaches, including dynamic programming and geometric m…
  crossref Kevin Braathen de Carvalho 2025-11-10T13:49:18Z 置信度 0.70
• Learning robot behavior from human-human interactions
  A model trained by observing human-human interactions produces more natural robot behavior during human-robot interaction.
  crossref Melisa Yashinski 2025-12-17T18:58:21Z 置信度 0.70
• Intelligent Mobile Robot Learning in Autonomous Navigation
  Apprentissage Intelligent des Robots Mobiles dans la Navigation Autonome Les robots modernes sont appelés à effectuer des opérations ou tâches complexes et la capacité de navigation autonome dans un environnement dynamique est un besoin essentiel pour les robo…
  crossref Chen Xia 2026-04-01T09:20:19Z 置信度 0.70
• Leveraging Physical Human-Robot Interaction for Surgical Robot Learning in Neuroendoscopy
  crossref Audrey Lee, Benjamin I. Rapoport 2025-05-12T17:38:30Z 置信度 0.70
• Learning Algorithm Design for Human-Robot Skill Transfer
  crossref Chungxu Li 2020-08-05T10:20:26Z 置信度 0.70
• Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot
  crossref Ma Jesús López Boada, Ramón Barber, Verónica Egido, Miguel Ángel Salichs 2014-08-22T17:24:37Z 置信度 0.70
• A Survey of Robot-Assisted Language Learning (RALL)
  Robot-assisted language learning (RALL) is becoming a more commonly studied area of human-robot interaction (HRI). This research draws on theories and methods from many different fields, with researchers utilizing different instructional methods, robots, and p…
  crossref Natasha Randall 2019-12-11T13:27:18Z 置信度 0.70
• Reinforcement Learning DDPG Algorithm Based Wheeled Mobility Aid Robot Control Methods
  When using wheeled walker robots to help individuals with limited walking ability improve their mobility, the stability of the robot's motion control and trajectory tracking accuracy are critical. In this paper, a new trajectory tracking method for wheeled wal…
  crossref 2024-08-02T09:22:28Z 置信度 0.70
• Children Teach a Care-Receiving Robot to Promote Their Learning: Field Experiments in a Classroom for Vocabulary Learning
  crossref Fumihide Tanaka, Shizuko Matsuzoe 2012-08-02T10:11:58Z 置信度 0.70
• Human–Robot Co-Facilitation in Collaborative Learning: A Comparative Study of the Effects of Human and Robot Facilitation on Learning Experience and Learning Outcomes
  Collaborative learning has been widely studied in higher education and beyond, suggesting that collaboration in small groups can be effective for promoting deeper learning, enhancing engagement and motivation, and improving a range of cognitive and social outc…
  crossref Ilona Buchem, Stefano Sostak, Lewe Christiansen 2024-07-16T11:31:57Z 置信度 0.70
• Incremental grounded language learning in robot-robot interactions — Examples from spatial language
  crossref Michael Spranger 2015-12-08T22:20:27Z 置信度 0.70
• Communication in Robot Learning : usage of the Combined Task and Social Channelfor Action Learning
  Communication dans l'apprentissage robotique : utilisation du canal de tâches et social combiné pour l'apprentissage d'actions Les robots ne peuvent pas être programmés pour chaque situation qu'ils peuvent rencontrer, ce qui justifie la nécessité d'apprendre à…
  crossref Manuel Bied 2026-04-04T11:17:12Z 置信度 0.70
• Macro Actions in Robot Learning
  crossref 2012-01-06T11:49:07Z 置信度 0.70
• Learning subsumptions for an autonomous robot
  crossref J.N.H. Heemskerk 2005-11-22T15:45:00Z 置信度 0.70
• Unsupervised learning of two legged robot
  crossref T. Kitazoe 2002-12-17T11:08:05Z 置信度 0.70
• Model Free Human‐Robot Interaction Control
  crossref 2021-10-02T13:40:50Z 置信度 0.70
• Movement Primitives in Robot Learning
  crossref 2012-01-06T11:49:07Z 置信度 0.70
• MACHINE LEARNING STRATEGIES FOR KNOWLEDGE ACQUISITION IN AUTONOMOUS ROBOT SYSTEMS
  crossref R. Dillmann 2014-07-01T12:20:47Z 置信度 0.70
• Learning more from less data: experiments with lifelong robot learning
  crossref S. Thrun 2005-11-22T15:45:00Z 置信度 0.70
• Teaching a robot behavior sequences, using reinforcement learning : How to raise a pet robot with a remote control
  crossref M Ullerstam, M Mizukawa 2017-06-26T22:35:08Z 置信度 0.70
• Basis Behaviors for Robot Learning
  crossref 2012-01-06T12:16:19Z 置信度 0.70
• Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation
  crossref Hafiq Anas, Wee Hong Ong, Owais Ahmed Malik 2022-03-31T04:03:10Z 置信度 0.70
• Model Based Human‐Robot Interaction Control
  crossref 2021-10-02T13:40:50Z 置信度 0.70
• Embodied queries for robot task learning
  crossref Kalesha Bullard 2016-05-04T19:35:19Z 置信度 0.70
• Physics filtering favors the generalization of robot learning
  europepmc 2026 置信度 0.80
• Adaptive Scaffolding in Inclusive Mathematics Learning: Design and Validation of the MAGENTA AI-Robot Learning Ecosystem
  europepmc 2026 置信度 0.80
• Toward Zero-Human-Intervention Autonomous Robot Learning: A Continuous Result-Driven Self-Reward and Correction Framework
  europepmc 2026 置信度 0.80
• The power of combined modalities in interactive robot learning.
  With the continuous advancement of Artificial intelligence (AI), robots as embodied intelligent systems are increasingly becoming more present in daily life like households or in elderly care. As a result, lay users are required to interact with these systems …
  pubmed Beierling H, Beierling R, Vollmer AL 2025 置信度 0.82
• Editorial: Cognitive inspired aspects of robot learning.
  europepmc 2023 置信度 0.80
• StARformer: Transformer With State-Action-Reward Representations for Robot Learning.
  europepmc 2023 置信度 0.80
• Recent trends in robot learning and evolution for swarm robotics.
  europepmc 2023 置信度 0.80
• Robot Learning from Demonstration for Assembly with Camera-Supplemented Optical Motion Capture Sensors
  europepmc 2023 置信度 0.80
• A Novel Approach for Autonomous Mobile Robot Learning and Control Using a Customized Spiking Neural Network
  europepmc 2023 置信度 0.80
• Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback.
  europepmc 2023 置信度 0.80
• The foundation of efficient robot learning.
  europepmc 2020 置信度 0.80
• Errors in Human-Robot Interactions and Their Effects on Robot Learning.
  europepmc 2020 置信度 0.80
• A Robot Learning from Demonstration Framework for Skillful Small Parts Assembly
  europepmc 2021 置信度 0.80
• Integrated Cognitive Architecture for Robot Learning of Action and Language.
  europepmc 2019 置信度 0.80
• Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient.
  There has been substantial growth in research on the robot automation, which aims to make robots capable of directly interacting with the world or human. Robot learning for automation from human demonstration is central to such situation. However, the dependen…
  europepmc 2020 置信度 0.80
• Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics.
  europepmc 2019 置信度 0.80
• Learning adaptation experiences of circulating nurses in robot-assisted femoral neck fracture surgery from a learning-curve perspective: a qualitative study.
  europepmc 2026 置信度 0.80
• Global trends in learning curves of robot-assisted urological surgery: a bibliometric analysis of surgical safety and functional recovery.
  europepmc 2026 置信度 0.80
• Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface.
  europepmc 2019 置信度 0.80
• Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.
  europepmc 2026 置信度 0.80
• The role of an educational robot in advance decision learning among community-dwelling older adults.
  europepmc 2026 置信度 0.80
• From robot assistance to surgical intelligence: global research trends and emerging frontiers of artificial intelligence-enhanced robotic surgery in urology.
  To systematically characterize global publication trends, collaboration patterns, intellectual foundations, research hotspots, and emerging frontiers in artificial intelligence (AI)-enhanced robotic and robot-assisted surgery in urology. Publications were retr…
  europepmc 2026 置信度 0.80
• Robotic Versus Laparoscopic Pancreaticoduodenectomy: A Review of Contemporary Evidence on Surgical Outcomes and Learning Curve.
  europepmc 2026 置信度 0.80
• Performant robotic manipulation with real-world reinforcement learning.
  europepmc 2026 置信度 0.80
• Exploring deep reinforcement learning acceleration by superscaling data augmentation via branched fractal symmetries.
  europepmc 2026 置信度 0.80
• Step-specific learning curve of the TMINI robotic system for total knee arthroplasty: a single-surgeon CUSUM analysis.
  europepmc 2026 置信度 0.80
• Perceived learning curve of the nursing team using the da vinci XI surgical system in a Brazilian university hospital.
  europepmc 2026 置信度 0.80
• Erratum for the Research Article "Observing a robot peer's failures facilitates students' classroom learning".
  europepmc 2026 置信度 0.80
• Robotic-assisted pulmonary resection with a periareolar assistant port: learning curve and propensity-matched comparison with the conventional-portal approach.
  europepmc 2026 置信度 0.80
• In vivo microsurgical training with the symani<sup>®</sup> robot: early experience and feasibility.
  europepmc 2026 置信度 0.80
• Proctoring as advanced surgical learning: the proctor's perspective in robotic surgery.
  europepmc 2026 置信度 0.80
• The Multi-Dimensional Learning Curve in Robotic-Assisted vs. Laparoscopic Rectal Cancer Resection: A Systematic Review of Procedural Efficiency, Pathological Integrity, and Ergonomic Impact.
  europepmc 2026 置信度 0.80
• CUSUM Analysis of the Initial Learning Curve for Robot-Assisted Gynecologic Surgery at a German Tertiary Center
  europepmc 2026 置信度 0.80
• Effects of Modifying Hinotori Surgical Robot System on the Learning Curve of Robot-Assisted Radical Prostatectomy.
  europepmc 2026 置信度 0.80
• Cross-Stream and Cross-Channel Attention Networks for Surgical Skill Classification in Open Surgery From Hand Kinematics.
  europepmc 2026 置信度 0.80
• From Insect Behavior to Transferable Robot Locomotion: Inferring Embodied Locomotor Principles from Limited Data via Adversarial Inverse Reinforcement Learning.
  europepmc 2026 置信度 0.80
• Does technology increase the risk of stiffness after Total Knee Arthroplasty ? Evaluating the role of the learning curve.
  europepmc 2026 置信度 0.80
• Study on the Learning Curve of Single-Center Robot-Assisted Hepatectomy for Malignant Liver Tumors
  europepmc 2026 置信度 0.80
• Development of an Artificial Intelligence-Driven Three-Dimensional Reconstruction Model of Renal Vasculature for Surgical Planning in Robot-Assisted Partial Nephrectomy.
  europepmc 2026 置信度 0.80
• Object-centric diffusion policies for real-world robotic-arm imitation learning.
  Imitation learning in complex, unstructured environments remains challenging due to the difficulty of grounding perception in physically meaningful representations and the need to model multimodal action distributions. Existing approaches often rely on unstruc…
  europepmc 2026 置信度 0.80
• Collision Avoidance with Deep Learning in a Digital Twin for Industrial Collaborative Robot Manipulation
  europepmc 2026 置信度 0.80
• Mapping the evolution of deep learning and computer vision in robotic surgery: a bibliometric analysis of surgical video intelligence, instrument perception, and clinical translation.
  europepmc 2026 置信度 0.80
• Hybrid task and motion planning with reactive collision handling for multi-robot disassembly of complex products: application to EV batteries.
  This paper addresses the problem of multi-robot coordination for complex manipulation task sequences. We present a vision-driven task-and-motion planning (TAMP) framework for a real dual-agent platform that integrates task decomposition and allocation with a l…
  europepmc 2026 置信度 0.80
• Agile perceptive multiskill locomotion for quadrupedal robots in the wild.
  europepmc 2026 置信度 0.80
• Robot-assisted total hip arthroplasty (THA) was associated with a shorter learning curve, greater implant accuracy, and reduced team stress than conventional THA when performed by a junior surgeon: a comparative study.
  europepmc 2026 置信度 0.80
• Robotic pancreaticoduodenectomy: a structured narrative review of learning curve, patient selection, and program readiness.
  europepmc 2026 置信度 0.80
• Feasibility and safety of supervised robotic training for minor general surgical procedures: a prospective single-center study with early learning curve analysis.
  europepmc 2026 置信度 0.80
• Technology-enhanced training in basic robotic surgical skills: a systematic review.
  europepmc 2026 置信度 0.80
• Correction: Morphological symmetry-aware generalized policy network for deep reinforcement learning.
  europepmc 2026 置信度 0.80
• Novel Word Learning from Social Robots by Autistic and Non-Autistic Children
  europepmc 2026 置信度 0.80
• Design and Testing of an Integrated Robot for Harvesting, Stipe-Cutting, and Grading of <i>Agaricus bisporus</i>.
  To address the limitations of current Agaricus bisporus harvesting robots, including low picking efficiency, susceptibility to mechanical damage, poor operational stability, and discontinuous harvesting processes, an integrated robotic system capable of mushro…
  europepmc 2026 置信度 0.80
• Exploring child engagement in a multi-robot tutor-peer learning scenario.
  europepmc 2026 置信度 0.80
• Learning curve and surgical time predictors in robot-assisted transvaginal natural orifice transluminal endoscopic surgery: a risk-adjusted cumulative sum analysis.
  europepmc 2026 置信度 0.80
• Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction.
  europepmc 2026 置信度 0.80
• Explainable machine learning for automated robotic surgical skill assessment using rich kinematic features.
  europepmc 2026 置信度 0.80