cs.RO（2025-05-09）

📊 共 22 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (15 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1) 支柱六：视频提取与匹配 (Video Extraction) (1)

🔬 支柱一：机器人控制 (Robot Control) (15 篇)

#题目一句话要点标签🔗⭐
1 UniVLA: Learning to Act Anywhere with Task-centric Latent Actions UniVLA：利用任务中心潜在动作学习跨环境机器人通用策略 manipulation policy learning cross-embodiment
2 3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks 提出3D-CAVLA模型，利用深度信息和3D上下文提升VLM在机器人操作任务中的泛化能力 manipulation vision-language-action chain-of-thought
3 LLM-Land: Large Language Models for Context-Aware Drone Landing 提出LLM-Land框架，利用大语言模型实现上下文感知的无人机自主着陆。 MPC model predictive control large language model
4 Human-Robot Collaboration for the Remote Control of Mobile Humanoid Robots with Torso-Arm Coordination 针对远程控制人形机器人，提出人机协作的躯干-手臂协调控制方法 humanoid humanoid robot
5 Let Humanoids Hike! Integrative Skill Development on Complex Trails 提出LEGO-H框架，解决复杂地形下人形机器人自主行走难题 humanoid humanoid robot locomotion
6 Towards Embodiment Scaling Laws in Robot Locomotion 基于大量机器人形态训练，实现机器人运动策略的跨形态泛化 locomotion Unitree cross-embodiment
7 Adaptive Wiping: Adaptive contact-rich manipulation through few-shot imitation learning with Force-Torque feedback and pre-trained object representations 提出基于力矩反馈和预训练对象表征的自适应擦拭模仿学习方法 manipulation imitation learning
8 DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition 提出DAPPER以解决偏好学习中的查询效率问题 legged robot reinforcement learning policy learning
9 TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations TREND：结合少量演示和三教师策略，提升噪声偏好强化学习的鲁棒性 manipulation reinforcement learning ✅
10 Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives 揭示扩散策略的本质：动作记忆与简单查找表替代方案 manipulation diffusion policy ✅
11 KRRF: Kinodynamic Rapidly-exploring Random Forest algorithm for multi-goal motion planning 提出KRRF算法，解决运动学约束下多目标点运动规划问题 motion planning
12 Physics-informed Temporal Difference Metric Learning for Robot Motion Planning 提出基于物理信息的时序差分度量学习方法，提升机器人运动规划在复杂环境中的性能。 motion planning
13 Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds 提出基于SPaT数据的集中式决策车队控制方法，提升燃油效率。 MPC model predictive control
14 Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects 提出Object Kinematic Sequence Machines (OKSMs)以学习多关节物体的运动模型 manipulation
15 Robot Learning Using Multi-Coordinate Elastic Maps 提出基于多坐标弹性图的机器人学习方法，提升模仿学习中技能特征的理解与泛化能力 manipulation

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗⭐
16 Multi-Agent Systems for Robotic Autonomy with LLMs 提出基于LLM的多智能体系统，实现机器人任务分析、设计与路径生成 reinforcement learning large language model multimodal
17 Apple: Toward General Active Perception via Reinforcement Learning 提出APPLE框架，通过强化学习实现通用主动感知，解决机器人任务中的不确定性问题。 reinforcement learning policy learning

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

#题目一句话要点标签🔗⭐
18 VISTA: Generative Visual Imagination for Vision-and-Language Navigation VISTA：用于视觉-语言导航的生成式视觉想象框架 VLN
19 Augmented Body Communicator: Enhancing daily body expression for people with upper limb limitations through LLM and a robotic arm 提出增强身体沟通器以解决上肢运动障碍者的社交表达问题 large language model

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

#题目一句话要点标签🔗⭐
20 Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization 利用超宽带定位技术，解决复杂环境中人体运动数据采集难题 human motion

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
21 Camera Control at the Edge with Language Models for Scene Understanding 提出OPUS框架，利用语言模型在边缘端实现PTZ摄像机的智能控制与场景理解。 scene understanding large language model

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗⭐
22 Oh F**k! How Do People Feel about Robots that Leverage Profanity? 研究机器人使用脏话对用户社会认知的影响，挑战传统机器人设计 HuMoR

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