cs.RO（2025-02-25）

📊 共 11 篇论文 | 🔗 3 篇有代码

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支柱一：机器人控制 (Robot Control) (8 🔗3) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱一：机器人控制 (Robot Control) (8 篇)

#题目一句话要点标签🔗⭐
1 A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation 提出基于分布式的Real2Sim2Real框架，用于视觉驱动的柔性线性物体操作中的对象中心代理自适应。 manipulation sim2real real2sim
2 FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real FetchBot：通过零样本Sim2Real学习在杂乱场景中进行可泛化的物体抓取 sim-to-real sim2real embodied AI
3 Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary Results 提出基于深度强化学习的6自由度水下机器人节能自主位置控制方法 model predictive control reinforcement learning deep reinforcement learning
4 Multimodal Interaction and Intention Communication for Industrial Robots 提出基于多模态交互和意图沟通的工业机器人人机交互系统 humanoid multimodal
5 Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand 提出基于灵巧手的强化学习方法，高效解决复杂堆叠环境下的物体抓取问题 manipulation dexterous hand reinforcement learning ✅
6 Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks GazeBot：利用注视信息和运动瓶颈增强机器人操作技能的可复用性 manipulation teleoperation imitation learning ✅
7 CRESSim-MPM: A Material Point Method Library for Surgical Soft Body Simulation with Cutting and Suturing CRESSim-MPM：用于切割和缝合手术软组织仿真的材料点法库 manipulation soft body simulation ✅
8 $\texttt{SPIN}$: distilling $\texttt{Skill-RRT}$ for long-horizon prehensile and non-prehensile manipulation 提出SPIN框架，通过模仿学习将Skill-RRT蒸馏为策略，解决长时程灵巧操作任务。 manipulation imitation learning

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

#题目一句话要点标签🔗⭐
9 Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning 提出基于目标条件安全强化学习的多智能体安全导航方法 reinforcement learning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗⭐
10 MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration 提出MRBTP算法，解决多机器人行为树规划与协同问题，提升仓库管理和日常服务效率。 large language model

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
11 Impact of Object Weight in Handovers: Inspiring Robotic Grip Release and Motion from Human Handovers 提出基于物体重量感知的机器人自适应抓取释放策略，提升人机协作自然性 motion adaptation

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