| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
✅ |
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