| 1 |
H2-COMPACT: Human-Humanoid Co-Manipulation via Adaptive Contact Trajectory Policies |
提出H2-COMPACT框架,实现人-人形机器人基于触觉引导的协同负载搬运。 |
legged locomotion humanoid locomotion |
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| 2 |
McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion |
McARL:基于形态控制的强化学习,实现四足机器人通用运动控制 |
quadruped locomotion Unitree |
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| 3 |
HACL: History-Aware Curriculum Learning for Fast Locomotion |
提出历史感知课程学习(HACL)算法,提升四足机器人高速运动性能 |
quadruped bipedal biped |
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| 4 |
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration |
PDDLLM:利用单次演示,通过LLM自动推导机器人任务规划领域 |
motion planning large language model task and motion planning |
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| 5 |
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy |
提出动力学指导的扩散策略,解决3D可变形物体动态操作中的数据稀疏问题。 |
manipulation policy learning imitation learning |
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| 6 |
Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space |
提出基于分层数据收集空间的模仿学习方法,提升长时程操作任务性能。 |
manipulation imitation learning |
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| 7 |
Is Single-View Mesh Reconstruction Ready for Robotics? |
评估单视图网格重建在机器人实时物理仿真中的应用潜力 |
manipulation physically plausible |
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| 8 |
Object Classification Utilizing Neuromorphic Proprioceptive Signals in Active Exploration: Validated on a Soft Anthropomorphic Hand |
提出基于神经形态本体感受信号和软手的主动探索物体分类方法 |
manipulation in-hand manipulation |
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| 9 |
Predictability-Based Curiosity-Guided Action Symbol Discovery |
提出基于可预测性的好奇心引导动作符号发现方法,用于自主学习机器人操作技能。 |
manipulation |
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