cs.RO（2025-04-21）

📊 共 9 篇论文 | 🔗 1 篇有代码

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支柱一：机器人控制 (Robot Control) (8 🔗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	Immersive Teleoperation Framework for Locomanipulation Tasks	提出基于高斯溅射的VR遥操作框架，提升移动操作机器人的交互体验与效率	manipulation loco-manipulation locomanipulation
2	LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning	LAPP：利用大语言模型反馈进行偏好驱动的强化学习，提升机器人控制能力	quadruped locomotion manipulation
3	Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning	提出基于记忆增强LLM的步态预测Agent，提升建筑场景人机协作	locomotion large language model multimodal
4	Dynamic Legged Ball Manipulation on Rugged Terrains with Hierarchical Reinforcement Learning	提出一种分层强化学习框架，用于四足机器人在崎岖地形上进行动态腿式控球操作。	quadruped manipulation loco-manipulation
5	Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking	提出后收敛Sim-to-Real策略迁移方法，解决策略挑选难题	legged robot locomotion locomotion policy
6	SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks	SuFIA-BC：为外科子任务的视觉运动策略学习生成高质量演示数据	manipulation dexterous manipulation policy learning	✅
7	Towards Task-Oriented Flying: Framework, Infrastructure, and Principles	提出面向任务的四旋翼飞行框架，促进学习型控制在复杂环境中的部署。	sim-to-real reinforcement learning deep reinforcement learning
8	A Genetic Fuzzy-Enabled Framework on Robotic Manipulation for In-Space Servicing	提出基于遗传模糊树的LQR控制框架，用于空间机器人操作	manipulation

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

#	题目	一句话要点	标签	🔗	⭐
9	Accelerating Visual Reinforcement Learning with Separate Primitive Policy for Peg-in-Hole Tasks	提出分离原始策略(S2P)，加速视觉强化学习在孔洞装配任务中的应用	reinforcement learning

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