cs.RO(2025-10-29)

📊 共 13 篇论文

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支柱一:机器人控制 (Robot Control) (11) 支柱九:具身大模型 (Embodied Foundation Models) (2)

🔬 支柱一:机器人控制 (Robot Control) (11 篇)

#题目一句话要点标签🔗
1 GET-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions GeT-USE:通过模拟具身扩展学习通用双臂移动操作工具使用 manipulation mobile manipulation bi-manual
2 Using VLM Reasoning to Constrain Task and Motion Planning VIZ-COAST:利用视觉语言模型推理约束任务与运动规划,提升规划效率。 motion planning task and motion planning TAMP
3 SynHLMA:Synthesizing Hand Language Manipulation for Articulated Object with Discrete Human Object Interaction Representation SynHLMA:合成用于操作铰接物体的带离散人-物交互表示的手语 manipulation imitation learning human-object interaction
4 Sim-to-Real Gentle Manipulation of Deformable and Fragile Objects with Stress-Guided Reinforcement Learning 提出基于应力引导强化学习的柔性物体轻柔操作方法,实现Sim-to-Real迁移 manipulation sim-to-real reinforcement learning
5 Debate2Create: Robot Co-design via Large Language Model Debates Debate2Create:通过大语言模型辩论实现机器人协同设计 quadruped locomotion large language model
6 Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills 提出基于强化学习双臂机器人技能库的规划与调度框架,解决复杂操作任务。 manipulation bi-manual bimanual manipulation
7 One-shot Humanoid Whole-body Motion Learning 提出基于单样本学习的人形机器人全身运动策略训练方法 humanoid reinforcement learning
8 Force Characterization of Insect-Scale Aquatic Propulsion Based on Fluid-Structure Interaction 基于流固耦合,研究人员对昆虫尺度水下推进器的推力特性进行了表征 locomotion
9 An approach for combining transparency and motion assistance of a lower body exoskeleton 提出一种结合透明模式与运动辅助的下肢外骨骼控制方法 locomotion
10 Development of Implicit-Explicit Control Based Amphibious Centipede-Type Robot and Evaluation of its Mobile Performance 提出基于隐式-显式控制的蜈蚣型两栖机器人,并评估其移动性能 locomotion
11 Hybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery 提出一种混合视觉伺服方法,结合深度对齐和GRU的遮挡恢复,提升机器人操作的鲁棒性。 manipulation

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

#题目一句话要点标签🔗
12 Robotic Assistant: Completing Collaborative Tasks with Dexterous Vision-Language-Action Models 提出基于视觉-语言-动作模型的机器人助手,用于灵巧的人机协作任务 vision-language-action VLA
13 RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis RoadSens-4M:提出一个多模态智能手机与相机数据集,用于整体道路分析。 multimodal

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