cs.RO（2025-04-22）

📊 共 7 篇论文

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (3) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment	DriVerse：通过多模态轨迹提示和运动对齐实现驾驶模拟的导航世界模型	world model multimodal
2	CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through Simulation	CaRoSaC：基于强化学习的索驱动并联机器人运动学控制，解决索下垂问题	reinforcement learning
3	Research on Navigation Methods Based on LLMs	提出基于LLM的导航框架，通过动态工具组合实现上下文感知的室内导航	reinforcement learning large language model

🔬 支柱一：机器人控制 (Robot Control) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
4	Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation	提出基于分层强化学习的双向任务-运动规划，用于集群机器人战略对抗	motion planning reinforcement learning task and motion planning
5	Grasping Deformable Objects via Reinforcement Learning with Cross-Modal Attention to Visuo-Tactile Inputs	提出基于跨模态注意力强化学习方法，解决软体抓取问题	manipulation reinforcement learning deep reinforcement learning
6	Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback	提出一种基于强化学习与动作反馈的液压冗余机械臂自主控制方法	actuator network reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
7	Multimodal Perception for Goal-oriented Navigation: A Survey	综述多模态感知在目标导向导航中的应用，并从推理域角度分析导航方法。	multimodal

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