| 1 |
Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning |
提出迷你人形机器人远程操控与移动操作的新方法 |
humanoid humanoid robot locomotion |
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| 2 |
Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids |
提出DEED框架以解决零售人形机器人实验室与实际应用之间的差距 |
humanoid humanoid robot Unitree |
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| 3 |
What Matters in Humanoid General Motion Tracking? An Empirical Study |
提出YAHMP框架以解决类人机器人运动跟踪问题 |
humanoid motion tracking Unitree |
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| 4 |
Extreme-RGMT: Continual Learning of Highly Dynamic Skills for Robust Generalist Humanoid Control |
提出Extreme-RGMT以解决人形机器人动态技能学习问题 |
humanoid humanoid control motion tracking |
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| 5 |
ReferTrack: Referring Then Tracking for Embodied Visual Tracking |
提出ReferTrack以解决自然语言描述目标的跟踪问题 |
humanoid humanoid robot sim-to-real |
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| 6 |
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding |
提出KineBench以解决现有EWMs评估中的IDM依赖问题 |
manipulation world model world models |
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| 7 |
Distributed Motion Planning with Safety Guarantees for Self-Reconfiguring Robotic Boats |
提出一种混合框架以确保自重构水上机器人安全运动规划 |
MPC model predictive control motion planning |
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| 8 |
Robots Acquire Manipulation Skills in Seconds from a Single Human Video |
提出HOST框架以快速从单个视频中获取机器人操作技能 |
manipulation human-to-robot |
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| 9 |
Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training |
提出冲突感知的分离参数训练以解决机器人导航中的预测与规划问题 |
motion planning motion prediction |
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| 10 |
LENS: LLM-guided Environment Simplification for Planning and Control in Clutter |
提出LENS以解决多物体杂乱环境中的规划与控制问题 |
manipulation vision-language-action |
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| 11 |
EgoRecovery: Acquiring Failure Recovery Ability Through Human Recovery Demonstration |
提出EgoRecovery以解决机器人故障恢复能力不足的问题 |
teleoperation egocentric |
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| 12 |
Morphing MILR: Design and control of a cable-driven limbless robot with rolling joints for maneuvering in complex environments |
提出可重构的无肢机器人以解决复杂环境中的灵活运动问题 |
locomotion |
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