cs.RO（2024-06-25）

📊 共 9 篇论文 | 🔗 2 篇有代码

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支柱一：机器人控制 (Robot Control) (5 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing	提出基于深度强化学习的混合交通合作换道机制，提升自动驾驶车辆换道性能	motion planning reinforcement learning deep reinforcement learning
2	Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies	提出基于黎曼运动策略的人机协作框架，实现工业场景下的任务自适应	motion planning motion generation
3	Learning Decentralized Multi-Biped Control for Payload Transport	提出一种分散式多足机器人有效载荷运输控制方法，无需针对不同构型进行重新训练。	bipedal biped reinforcement learning
4	EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data	EXTRACT：从离线数据中提取可迁移机器人技能以实现高效策略学习	manipulation reinforcement learning policy learning
5	OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models	OCCAM：基于元学习模型的在线连续控制器自适应框架	quadruped predictive model	✅

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

#	题目	一句话要点	标签	🔗	⭐
6	Human-centered In-building Embodied Delivery Benchmark	提出人机交互室内配送基准，构建多模态大模型驱动的虚拟环境	multimodal
7	Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness	提出一种基于LLM的、具有多样性感知能力的人机交互系统	large language model

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

#	题目	一句话要点	标签	🔗	⭐
8	BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO	BricksRL：利用乐高 democratize 机器人和强化学习研究与教育	reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
9	SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation	SlideSLAM：用于多机器人导航的稀疏、轻量级、去中心化度量语义SLAM	semantic map	✅

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