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• Research on Athlete Technical Action Scoring Model Based on Deep Learning
  crossref Tian Long, Xiaodong Li 2025-04-03T00:10:16Z 置信度 0.70
• Vision-language model based handwriting verification
  crossref Mihir Chauhan, Abhishek Satbhai, Mohammad Abuzar Hashemi, Mir Basheer Ali 等 2024-12-12T11:00:11Z 置信度 0.70
• Improving Video Representation of Vision-Language Model with Decoupled Explicit Temporal Modeling
  crossref Yuxi Liu, Wenyu Zhang, Sihong Chen, Xinming Zhang 2024-11-02T05:04:50Z 置信度 0.70
• Context-aware Emotion Recognition Based on Vision-Language Pre-trained Model
  crossref XingLin Li, Xinde Li, Chuanfei Hu, Huaping Liu 2024-10-18T17:27:32Z 置信度 0.70
• Parameter-level Mask-based Adapter for 3D Continual Learning with Vision-Language Model
  crossref Longyue Qian, Mingxin Zhang, Qian Zhang, Lin Zhang 等 2025-03-07T18:33:40Z 置信度 0.70
• Review of Savski (2024): Language Policy in Action
  crossref Hossein Davari, Saeed Nourzadeh 2026-06-25T10:06:26Z 置信度 0.70
• TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioning
  crossref Quang Minh Dinh, Minh Khoi Ho, Anh Quan Dang, Hung Phong Tran 2024-09-27T18:27:42Z 置信度 0.70
• A Vision-language Model Based on Prompt Learner for Few-shot Medical Images Diagnosis
  crossref Tianyou Chang, Shizhan Chen, Guodong Fan, Zhiyong Feng 2024-07-10T17:21:49Z 置信度 0.70
• Modeling Action-Perception Coupling with Reciprocally Connected Neural Fields
  crossref Xinrui Jiang, Martin A. Giese 2025-07-16T00:31:25Z 置信度 0.70
• Leveraging Large Language and Vision Assistant Model for Multi Camera Appearance Features
  crossref Oliver Zeilerbauer, Mohammad Reza Mohebbi, Mario Doeller 2025-01-07T08:25:22Z 置信度 0.70
• Leveraging Advanced Vision-Language Model in Medical Visual Question Answering
  crossref Abdul Hafidh, Alim Misbullah, Laina Farsiah, Dalila Husna Yunardi 等 2025-01-10T19:59:46Z 置信度 0.70
• A Large Vision-Language Model based Environment Perception System for Visually Impaired People
  crossref Zezhou Chen, Zhaoxiang Liu, Kai Wang, Kohou Wang 等 2024-12-25T19:17:39Z 置信度 0.70
• Domain Knowledge Enhanced Vision-Language Pretrained Model for Dynamic Facial Expression Recognition
  crossref Liupeng Li, Yuhua Zheng, Shupeng Liu, Xiaoyin Xu 等 2024-10-26T06:59:27Z 置信度 0.70
• Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval
  crossref Mustafa Shukor, Nicolas Thome, Matthieu Cord 2024-07-09T15:55:41Z 置信度 0.70
• Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-Stage Action Localization
  crossref Ioanna Ntinoutl, Enrique Sanchez, Georgios Tzimiropoulos 2024-09-16T13:34:53Z 置信度 0.70
• Efficient Language-Driven Action Localization by Feature Aggregation and Prediction Adjustment
  crossref Zirui Shang, Shuo Yang, Xinxiao Wu 2024-10-19T21:02:10Z 置信度 0.70
• Bridge the Modality and Capability Gaps in Vision-Language Model Selection
  crossref Chao Yi, Yu-Hang He, De-Chuan Zhan, Han-Jia Ye 2025-11-03T11:20:56Z 置信度 0.70
• Scene adaptive mechanism for action recognition
  crossref Cong Wu, Xiao-Jun Wu, Tianyang Xu, Josef Kittler 2023-10-04T06:26:09Z 置信度 0.70
• Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model
  crossref Haojie Zhang, Min Zeng, Jinfeng Ding, Yixiong Liang 等 2025-01-10T20:12:45Z 置信度 0.70
• How Much Can Vision Language Models Really "See"?
  Introduction The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.
  crossref Amanda Kau 2026-08-30T11:44:42Z 置信度 0.70
• How Much Can Vision Language Models Really "See"?
  Introduction The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.
  crossref Amanda Kau 2026-08-30T11:44:41Z 置信度 0.70
• JOADAA: joint online action detection and action anticipation
  crossref Mohammed Guermal, Abid Ali, Rui Dai, Francois Bremond 2024-04-09T17:36:09Z 置信度 0.70
• In-service teacher education and action research
  crossref Anne Burns 2024-12-02T13:08:45Z 置信度 0.70
• How Much Can Vision Language Models Really "See"?
  Introduction The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.
  crossref Amanda Kau 2025-12-09T11:02:49Z 置信度 0.70
• Review for "Zero‐shot animal behaviour classification with vision‐language foundation models"
  crossref 2025-05-21T09:05:51Z 置信度 0.70
• How Much Can Vision Language Models Really "See"?
  Introduction The human brain is more extraordinary than any machine we could build. From an early age, many of us gain the ability to comprehend what our eyes tell us and articulate it. Furthermore, we combine evidence from all our senses to reason.
  crossref Amanda Kau 2024-03-11T23:42:04Z 置信度 0.70
• Action research for teaching grammar
  crossref Melissa Reed, Phil Chappell 2024-12-02T13:08:45Z 置信度 0.70
• From action research to higher degree research
  crossref Bianka Malecka 2024-12-02T13:08:45Z 置信度 0.70
• Leadership
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.70
• The neural dynamics of natural action understanding
  crossref Diana C Dima, Jody C Culham, Yalda Mohsenzadeh 2024-09-27T22:31:21Z 置信度 0.70
• MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World
  crossref Yining Hong, Zishuo Zheng, Peihao Chen, Yian Wang 等 2024-09-16T13:34:53Z 置信度 0.70
• A method for stochastic human action prediction based on denoising diffusion probability model
  crossref Yulin Wang, Gang Mou, Yuewen Zhao, Tao Song 2025-01-17T15:53:32Z 置信度 0.70
• Between bodily action and conventionalized structure: The neural mechanisms of constructed action in sign language comprehension
  crossref Doris Hernández, Anna Puupponen, Jarkko Keränen, Gerardo Ortega 等 2024-04-11T18:30:27Z 置信度 0.70
• How Accurate Can Large Vision Language Model Perform for Images with Compression Degradation?
  crossref Xiaohan Fang, Peilin Chen, Meng Wang, Shiqi Wang 2025-01-27T18:37:05Z 置信度 0.70
• TQRFormer: Tubelet query recollection transformer for action detection
  crossref Xiangyang Wang, Kun Yang, Qiang Ding, Rui Wang 等 2024-04-28T21:48:04Z 置信度 0.70
• Index
  crossref 2024-10-14T00:07:47Z 置信度 0.70
• The “Complex Dynamic Model of Autonomy Development” in Action: A Longitudinal Multiple Case Study on Language Learners’ Trajectories
  This paper explores the autonomy development in the language learning trajectories of two English major students within the complexity paradigm (Larsen-Freeman, 1997, 2017; Larsen-Freeman & Cameron, 2008). Autonomy is viewed as a complex, evolving phenomen…
  crossref Larissa Borges 2024-07-14T02:40:50Z 置信度 0.70
• TexCIL: Text-Guided Continual Learning of Disease with Vision-Language Model
  crossref Wentao Zhang, Defeng Zhao, Wei-Shi Zheng, Ruixuan Wang 2025-01-10T20:12:45Z 置信度 0.70
• Researching mobile technologies in language teaching
  crossref Nicky Hockly 2024-12-02T13:08:45Z 置信度 0.70
• Action entrepreneuriale, incertitude et vision : l’apport de l’école autrichienne
  Face à l’incertitude entourant l’action des autres individus, l’évolution de la conjoncture, ou l’issue de leur propre action, les individus forment des jugements et des plans d’action. Les entrepreneurs, au travers de leurs actions, forment des opportunités. …
  crossref Christel Vivel 2025-02-13T20:40:06Z 置信度 0.70
• Frontmatter
  crossref 2024-10-14T00:07:47Z 置信度 0.70
• Sign Language Detection Using Action Recognition LSTM Deep Learning Model
  crossref N Snehalatha, S Mohana Kumar, H Kavitha, S Nisha 等 2024-10-04T13:33:25Z 置信度 0.70
• VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
  crossref Han Huang, Haitian Zhong, Tao Yu, Qiang Liu 等 2025-11-03T11:20:56Z 置信度 0.70
• SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
  crossref Sri Dumpala, Aman Jaiswal, Chandramouli Sastry, Evangelos Milios 等 2025-11-03T11:20:56Z 置信度 0.70
• Acknowledgments
  crossref 2024-10-14T00:07:47Z 置信度 0.70
• VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
  crossref Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu 等 2024-12-07T07:55:49Z 置信度 0.70
• Contents
  crossref 2024-10-14T00:07:47Z 置信度 0.70
• Prologue
  crossref 2024-10-14T00:07:47Z 置信度 0.70
• The centrality of reflection in action research
  crossref Van Canh Le 2024-12-02T13:08:45Z 置信度 0.70
• OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
  crossref Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin 等 2025-11-03T11:20:56Z 置信度 0.70
• Online learning/hybrid learning and action research
  crossref John I. Liontas 2024-12-02T08:08:45Z 置信度 0.70
• Teacher emotional development and action research
  crossref Stephanie King, Christina Gkonou 2024-12-02T13:08:45Z 置信度 0.70
• Omni-V2x: A Vision-Language Model for Actionable Insights in Vehicle-to-Everything Systems
  crossref Nicanor Mayumu, Deng Xiaoheng, Patrick Mukala, Saif Ur Rehman Khan 等 2024-11-29T04:38:36Z 置信度 0.70
• Integrating Expert Knowledge with Vision-Language Model for Medical Image Retrieval
  crossref Xiaoyang Wei, Zografoula Vagena, Camille Kurtz, Florence Cloppet 2024-08-22T17:49:54Z 置信度 0.70
• DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving
  crossref Yongjie Fu, Anmol Jain, Xu Chen, Zhaobin Mo 等 2024-12-13T18:50:13Z 置信度 0.70
• Vision-Language Model-based Physical Reasoning for Robot Liquid Perception
  crossref Wenqiang Lai, Tianwei Zhang, Tin Lun Lam, Yuan Gao 2024-12-25T14:17:39Z 置信度 0.70
• Exploring Professional Communication
  crossref Stephanie Schnurr 2024-06-24T09:08:29Z 置信度 0.70
• Creativity in language teacher action research
  crossref Darío Luis Banegas, Luis S. Villacañas de Castro 2024-12-02T13:08:45Z 置信度 0.70
• Vision-Language Models for Biomedical Applications
  crossref Surendrabikram Thapa, Usman Naseem, Luping Zhou, Jinman Kim 2024-10-02T18:18:42Z 置信度 0.70
• Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
  crossref Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang 2025-11-03T11:20:56Z 置信度 0.70
• Action Classification from Motion Flow
  crossref Uriel Gonzalez, Nathan Destler, Jacob Feldman 2024-09-27T21:33:09Z 置信度 0.70
• Vision-Language Model for Generating Textual Descriptions From Clinical Images: Model Development and Validation Study
  Background The automatic generation of radiology reports, which seeks to create a free-text description from a clinical radiograph, is emerging as a pivotal intersection between clinical medicine and artificial intelligence. Leveraging natural language process…
  crossref Jia Ji, Yongshuai Hou, Xinyu Chen, Youcheng Pan 等 2024-02-08T09:00:28Z 置信度 0.70
• ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
  crossref Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu 等 2024-11-27T22:28:12Z 置信度 0.70
• SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks
  crossref Bowen Chen, Yun Sing Koh, Gillian Dobbie 2024-10-26T06:59:49Z 置信度 0.70
• Employing Glyphic Information for Chinese Event Extraction with Vision-Language Model
  crossref Xiaoyi Bao, Jinghang Gu, Zhongqing Wang, Minjie Qiang 等 2024-11-27T22:28:12Z 置信度 0.70
• Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator
  crossref Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu 等 2024-07-15T17:19:28Z 置信度 0.70
• Visuo-Tactile Zero-Shot Object Recognition with Vision-Language Model
  crossref Shiori Ueda, Atsushi Hashimoto, Masashi Hamaya, Kazutoshi Tanaka 等 2024-12-25T14:17:39Z 置信度 0.70
• Reinforcement Learning Friendly Vision-Language Model for Minecraft
  crossref Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding 等 2024-11-20T08:45:18Z 置信度 0.70
• Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
  crossref Tian Liang, Jing Huang, Ming Kong, Luyuan Chen 等 2024-09-16T17:34:53Z 置信度 0.70
• Training A Small Emotional Vision Language Model for Visual Art Comprehension
  crossref Jing Zhang, Liang Zheng, Meng Wang, Dan Guo 2024-11-08T18:49:05Z 置信度 0.70
• The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains
  The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains Driven by Dean A. Kulik August, 2025 Abstract This thesis presents a comprehensive unification of the Nexus Framework across mathematics, physics, computation, biology, cognitive sci…
  datacite Kulik, Dean 2025 置信度 0.66
• The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains
  The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains Driven by Dean A. Kulik August, 2025 Abstract This thesis presents a comprehensive unification of the Nexus Framework across mathematics, physics, computation, biology, cognitive sci…
  datacite Kulik, Dean 2025 置信度 0.66
• The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains
  The Nexus Framework: A Unified Prestack for Emergent Structure Across Domains Driven by Dean A. Kulik August, 2025 Abstract This thesis presents a comprehensive unification of the Nexus Framework across mathematics, physics, computation, biology, cognitive sci…
  datacite Kulik, Dean 2025 置信度 0.66
• Theoretical Implications of Localized Stability in the Nexus Recursive Harmonic Framework
  Theoretical Implications of Localized Stability in the Nexus Recursive Harmonic Framework Driven by Dean KulikNovember 2025 Abstract This comprehensive research report investigates the theoretical foundations and systemic implications of a localized stability …
  datacite Kulik, Dean 2025 置信度 0.66
• Theoretical Implications of Localized Stability in the Nexus Recursive Harmonic Framework
  Theoretical Implications of Localized Stability in the Nexus Recursive Harmonic Framework Driven by Dean KulikNovember 2025 Abstract This comprehensive research report investigates the theoretical foundations and systemic implications of a localized stability …
  datacite Kulik, Dean 2025 置信度 0.66
• What is the impact of VLA model scale (7B vs 13B) on object grounding accuracy and path completion rate in Lon
  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…
  datacite SOVEREIGN Research Kernel 2026 置信度 0.66 impactVLAmodelscaleobject
• What is the impact of VLA model scale (7B vs 13B) on object grounding accuracy and path completion rate in Lon
  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…
  datacite SOVEREIGN Research Kernel 2026 置信度 0.66 impactVLAmodelscaleobject
• A Neuro-Symbolic Co-Pilot for Autonomous Driving: Post-Hoc Behavioral Discovery for Hierarchical Decision-Making
  In the quest for Level 5 autonomous driving, a critical cognitive bottleneck exists between high-frequency mechanical reflexes and low-frequency semantic reasoning. End-to-end Vision-Language-Action (VLA) models provide strong semantic reasoning but introduce …
  datacite Naoui, Fares, Saifi, Riyadh 2026 置信度 0.66 Machine learningDeep learningArtificial intelligenceArtificial IntelligenceAutonomous robots
• A Neuro-Symbolic Co-Pilot for Autonomous Driving: Post-Hoc Behavioral Discovery for Hierarchical Decision-Making
  In the quest for Level 5 autonomous driving, a critical cognitive bottleneck exists between high-frequency mechanical reflexes and low-frequency semantic reasoning. End-to-end Vision-Language-Action (VLA) models provide strong semantic reasoning but introduce …
  datacite Naoui, Fares, Saifi, Riyadh 2026 置信度 0.66 Machine learningDeep learningArtificial intelligenceArtificial IntelligenceAutonomous robots
• Эфирный Код: Сознание как Ключ к Континууму Вселенной. КНИГА I.
  Эфирный Код: Сознание как Ключ к Континууму Вселенной. КНИГА I. (Редакция от 09 июля 2026 г. с дополнениями)Автор : Зорин Юрий Леонидович**Аннотация**Данная работа представляет собой фундаментальный синтез науки и метафизики, предлагая целостную картину реальн…
  datacite Зорин, Юрий 2026 置信度 0.66 Rational Mechanics of ContinuumContinuum TheoryEther physicsinterpretation of the Michelson-Morley experiment
• Эфирный Код: Сознание как Ключ к Континууму Вселенной. КНИГА I.
  Эфирный Код: Сознание как Ключ к Континууму Вселенной. КНИГА I. (Редакция от 09 июля 2026 г. с дополнениями)Автор : Зорин Юрий Леонидович**Аннотация**Данная работа представляет собой фундаментальный синтез науки и метафизики, предлагая целостную картину реальн…
  datacite Зорин, Юрий 2026 置信度 0.66 Rational Mechanics of ContinuumContinuum TheoryEther physicsinterpretation of the Michelson-Morley experiment
• The Recursive Harmonic Architecture of Reality (RHA): A Comprehensive Blueprint
  The Recursive Harmonic Architecture of Reality (RHA): A Comprehensive Blueprint Introduction The Recursive Harmonic Architecture (RHA) is a unifying framework that portrays reality as a self-organizing, computational process driven by recursion, feedback, and …
  datacite kulik, dean 2025 置信度 0.66
• The Recursive Harmonic Architecture of Reality (RHA): A Comprehensive Blueprint
  The Recursive Harmonic Architecture of Reality (RHA): A Comprehensive Blueprint Introduction The Recursive Harmonic Architecture (RHA) is a unifying framework that portrays reality as a self-organizing, computational process driven by recursion, feedback, and …
  datacite kulik, dean 2025 置信度 0.66
• Visual Failure Detection in Robotics
  Autonomous robots in human-centric environments can encounter unforeseen situations, making them prone to task execution failures. These failures can lead to unsafe conditions for both humans and robots and result in a loss of trust in robots. Therefore, robot…
  datacite Thoduka, Santosh George 2026 置信度 0.66 visuelle FehlererkennungRobotikDeep LearningAnomalieerkennungVideoanalyse
• BBP and the Informational Mirror: A Recursive Harmonic Interpretation of Modular Access
  BBP and the Informational Mirror: A Recursive Harmonic Interpretation of Modular Access Driven By Dean a, Kulik August,2025 Introduction The Bailey–Borwein–Plouffe (BBP) formula for π is renowned as a “spigot” algorithm that can directly compute the $n$th digi…
  datacite kulik, dean 2025 置信度 0.66
• BBP and the Informational Mirror: A Recursive Harmonic Interpretation of Modular Access
  BBP and the Informational Mirror: A Recursive Harmonic Interpretation of Modular Access Driven By Dean a, Kulik August,2025 Introduction The Bailey–Borwein–Plouffe (BBP) formula for π is renowned as a “spigot” algorithm that can directly compute the $n$th digi…
  datacite kulik, dean 2025 置信度 0.66
• SpatialVAM:Spatial-Aware Multi-View Video Diffusion as a Data-Efficient Robot Policy
  Robotic manipulation requires understanding both the 3D spatial structure of the environment and its temporal evolution, yet most existing policies neglect one or both aspects. They often rely on 2D visual observations or backbones pretrained on static image--…
  datacite Li, Peiyan, Chen, Yixiang, Xu, Yuan, Yang, Jiabing 等 2026 置信度 0.66 Robotics (cs.RO)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• The N-Body Problem: Parallel Execution from Single-Person Egocentric Video
  Humans can intuitively parallelise complex activities, but can a model predict this from observing a single person? Given one egocentric video, we introduce the N-Body Problem: predicting how N individuals, can hypothetically perform the same set of tasks. The…
  datacite Zhu, Zhifan, Huang, Yifei, Sato, Yoichi, Damen, Dima 2025 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences
• SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control
  Despite the rise of billion-parameter foundation models trained across thousands of graphical processing units (GPUs), similar scaling gains have not been shown for humanoid control. Current neural controllers for humanoids remain modest in size, target a limi…
  datacite Luo, Zhengyi, Yuan, Ye, Wang, Tingwu, Li, Chenran 等 2025 置信度 0.66 Robotics (cs.RO)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)Graphics (cs.GR)Systems and Control (eess.SY)
• UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models
  Vision-Language-Action (VLA) models have emerged as generalist robotic policies capable of following diverse language instructions and performing a wide range of manipulation tasks. However, their direct control over embodied agents also exposes them to advers…
  datacite Dai, Yukun, Dai, Mingzhe, Wang, Tianshi, Li, Fengling 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• FIRE-VLA: Failure-Informed Self-Evolution for Vision-Language-Action Models in Autonomous Driving
  Reinforcement learning improves autonomous-driving vision-language-action (VLA) models by evaluating trajectories sampled from the current policy. Group relative policy optimization (GRPO) learns from reward differences within each rollout group. When all samp…
  datacite Dou, Hao 2026 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciences
• FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving
  Vision-Language-Action (VLA) models promise to bring end-to-end reasoning to autonomous driving, but their computational cost remains far too high for real-time control. The core challenge is structural: VLA inference is not a single bottleneck but a cascade o…
  datacite Li, Zekai, Liang, Yihao, Zhang, Hongfei, Chen, Jian 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Enhancing Long-Horizon Household Robot Task Planning Using Vision-Language Models
  This paper presents VLM Household Planner, a reproducible embodied AI benchmark and closed-loop agent for long-horizon household robot task planning. The system uses a symbolic household simulator with a scene graph, container affordances, and preconditioned m…
  datacite Baig, Sultan 2026 置信度 0.66 household roboticsembodied AIvision language modelsrobotic manipulationhierarchical task planning
• Enhancing Long-Horizon Household Robot Task Planning Using Vision-Language Models
  This paper presents VLM Household Planner, a reproducible embodied AI benchmark and closed-loop agent for long-horizon household robot task planning. The system uses a symbolic household simulator with a scene graph, container affordances, and preconditioned m…
  datacite Baig, Sultan 2026 置信度 0.66 household roboticsembodied AIvision language modelsrobotic manipulationhierarchical task planning
• A Reproducible, Resource-Efficient Benchmark for Foundation-Model-Inspired Manipulation Learning with LeRobot and Open X-Embodiment
  This paper presents a reproducible, resource-efficient benchmark for foundation-model-inspired manipulation learning using LeRobot and the Open X-Embodiment dataset. Four policy architectures are implemented and evaluated under a standardised training and eval…
  datacite Baig, Sultan 2026 置信度 0.66 Robotic manipulationRobot learningEmbodied AIFoundational modelsLeRobot
• A Reproducible, Resource-Efficient Benchmark for Foundation-Model-Inspired Manipulation Learning with LeRobot and Open X-Embodiment
  This paper presents a reproducible, resource-efficient benchmark for foundation-model-inspired manipulation learning using LeRobot and the Open X-Embodiment dataset. Four policy architectures are implemented and evaluated under a standardised training and eval…
  datacite Baig, Sultan 2026 置信度 0.66 Robotic manipulationRobot learningEmbodied AIFoundational modelsLeRobot
• World Tokens: Enhancing Embodied Policies with Training-Time World Modeling
  Vision-language-action (VLA) models are a widely adopted paradigm for embodied policies. They excel at efficient closed-loop control but do not explicitly model how physical scenes evolve as a task unfolds. Recently emerging world-action models (WAMs) leverage…
  datacite Tang, Qu, Zhuang, Benhui, Yuan, Bo, Yu, Xue 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Robotics (cs.RO)FOS: Computer and information sciences
• Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving
  Vision-language models (VLMs) have recently emerged as a promising paradigm for end-to-end autonomous driving, enabling agents to map multimodal inputs and high-level navigation instructions directly to executable trajectories. However, in practice, these mode…
  datacite Hu, Meibo, Wang, Jiamian, Wang, Pichao, Tao, Zhiqiang 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Robotics (cs.RO)FOS: Computer and information sciences
• Prompt-Driven Exploration
  Exploration is essential to RL since a policy cannot improve by repeatedly sampling the behaviors it already prefers. Standard methods inject stochasticity in the action space, but such jitter only yields rollouts close to the original. Escaping a weak policy …
  datacite Jiang, Sunshine, Marangola, John, Zhang, David, Kowdeed, Raghuram 等 2026 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• MuseVLA: An Adaptive Multimodal Sensing Vision-Language-Action Model for Robotic Manipulation
  Humans naturally leverage diverse sensing modalities to interact with the physical world, while most Vision-Language-Action (VLA) models for robotics rely solely on RGB observations. This limits their ability to perceive physical properties that are difficult …
  datacite Liu, Xingyuming, Ma, Ruichun, Guo, Heyu, Li, Qixiu 等 2026 置信度 0.66 Robotics (cs.RO)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences