cs.RO（2025-10-31）

📊 共 11 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (8) 支柱九：具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 End-to-End Dexterous Arm-Hand VLA Policies via Shared Autonomy: VR Teleoperation Augmented by Autonomous Hand VLA Policy for Efficient Data Collection 提出基于共享自主的灵巧臂手VLA策略，用于高效数据收集。 manipulation dexterous manipulation teleoperation
2 EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations EgoMI：从以自我为中心的人类演示中学习主动视觉和全身操作 humanoid humanoid robot manipulation
3 Toward Accurate Long-Horizon Robotic Manipulation: Language-to-Action with Foundation Models via Scene Graphs 提出基于场景图的语言到动作框架，利用预训练模型实现精确的长时程机器人操作 manipulation foundation model multimodal
4 A Step Toward World Models: A Survey on Robotic Manipulation 针对机器人操作，综述了迈向世界模型的关键技术与方法。 manipulation world model
5 Learning Generalizable Visuomotor Policy through Dynamics-Alignment 提出动力学对齐的Flow Matching策略，提升机器人操作策略的泛化性 manipulation policy learning behavior cloning
6 MobiDock: Design and Control of A Modular Self Reconfigurable Bimanual Mobile Manipulator via Robotic Docking MobiDock：基于机器人对接的模块化自重构双臂移动操作机器人设计与控制 bi-manual
7 Whole-Body Proprioceptive Morphing: A Modular Soft Gripper for Robust Cross-Scale Grasping 提出一种具有全身本体感受形变的模块化软体夹爪，用于稳健的跨尺度抓取 manipulation
8 Towards a Multi-Embodied Grasping Agent 提出一种数据高效的、基于流的、等变抓取合成架构，用于多具身抓取任务。 humanoid

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
9 Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges 综述：自动驾驶轨迹规划中的Foundation Model进展与挑战 vision-language-action VLA foundation model ✅
10 Reducing Robotic Upper-Limb Assessment Time While Maintaining Precision: A Time Series Foundation Model Approach 利用时序基础模型，在保证精度的前提下，缩短机器人上肢评估时间 foundation model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
11 EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities 提出EBT-Policy，利用能量模型提升机器人物理推理能力，解决泛化性问题。 policy learning behavior cloning diffusion policy

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