cs.RO(2023-11-01)

📊 共 9 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (6 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (1) 支柱七:动作重定向 (Motion Retargeting) (1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱一:机器人控制 (Robot Control) (6 篇)

#题目一句话要点标签🔗
1 MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller 提出MTAC以解决四足机器人在动态地形中的控制问题 quadruped locomotion reinforcement learning
2 Constant-time Motion Planning with Anytime Refinement for Manipulation 提出常量时间运动规划与随时优化相结合的方法以解决机器人操作问题 manipulation motion planning
3 Learning to Design and Use Tools for Robotic Manipulation 提出工具设计学习方法以提升机器人操作能力 locomotion manipulation reinforcement learning
4 Neural Field Dynamics Model for Granular Object Piles Manipulation 提出基于神经场动力学模型以解决颗粒物体堆叠操控问题 manipulation trajectory optimization
5 Mechanically-Inflatable Bio-Inspired Locomotion for Robotic Pipeline Inspection 提出机械充气生物启发式机器人以解决管道检测问题 locomotion
6 An efficient tangent based topologically distinctive path finding for grid maps 提出基于切线图的高效路径规划方法以解决局部最优问题 trajectory optimization motion planning

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

#题目一句话要点标签🔗
7 RoboVQA: Multimodal Long-Horizon Reasoning for Robotics 提出RoboVQA以解决机器人长时间推理问题 multimodal

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

#题目一句话要点标签🔗
8 PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation 提出PIAug以解决越野车辆动态建模问题 motion prediction

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

#题目一句话要点标签🔗
9 Active Neural Topological Mapping for Multi-Agent Exploration 提出多智能体神经拓扑映射以解决合作探索问题 reinforcement learning deep reinforcement learning DRL

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