cs.RO（2024-12-27）

📊 共 9 篇论文 | 🔗 2 篇有代码

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支柱一：机器人控制 (Robot Control) (7 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱九：具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一：机器人控制 (Robot Control) (7 篇)

#题目一句话要点标签🔗⭐
1 Feedback Design and Implementation for Integrated Posture Manipulation and Thrust Vectoring 针对扑翼飞行器与双足机器人的姿态控制与推力矢量集成反馈设计 legged robot bipedal biped
2 Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC 提出基于分布式策略学习的预测控制框架，解决大规模多机器人系统实时控制难题。 MPC model predictive control policy learning
3 Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models 提出Motion Planning Diffusion (MPD)，利用扩散模型学习并适应机器人运动规划。 trajectory optimization motion planning multimodal
4 RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset RobotDiffuse：基于扩散模型的冗余机械臂运动规划，并提出ROP数据集 motion planning ✅
5 An Actionable Hierarchical Scene Representation Enhancing Autonomous Inspection Missions in Unknown Environments 提出分层语义图LSG，增强未知环境中自主巡检任务的场景理解与规划能力 quadruped scene understanding
6 xFLIE: Leveraging Actionable Hierarchical Scene Representations for Autonomous Semantic-Aware Inspection Missions xFLIE：利用可操作的分层场景表示进行自主语义感知检查任务 quadruped scene understanding
7 Safe Interval Randomized Path Planning For Manipulators 提出SI-RRT算法，解决高自由度机械臂在动态环境中的安全路径规划问题 manipulation ✅

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

#题目一句话要点标签🔗⭐
8 Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning 提出基于分层强化学习的可扩展多机器人任务规划方法，解决超大规模仓库系统中的维度灾难和动态性问题。 reinforcement learning policy learning

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

#题目一句话要点标签🔗⭐
9 SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms SocRATES：面向社交导航算法的自动化场景测试方法 large language model

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