| 1 |
Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power Saving |
提出一种数据驱动的四足机器人微调框架，优化难以仿真的能耗目标。 |
quadruped legged locomotion locomotion |
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| 2 |
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning |
AdaManip：自适应铰接物体操作环境与策略学习 |
manipulation policy learning imitation learning |
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| 3 |
BFA: Best-Feature-Aware Fusion for Multi-View Fine-grained Manipulation |
提出BFA：一种最佳特征感知融合方法，用于多视角精细操作任务 |
manipulation policy learning |
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| 4 |
Learning Quiet Walking for a Small Home Robot |
提出基于强化学习的足端速度控制方法，降低小型家庭机器人的行走噪声 |
quadruped sim-to-real reinforcement learning |
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| 5 |
DFM: Deep Fourier Mimic for Expressive Dance Motion Learning |
DFM：用于表现力舞蹈动作学习的深度傅里叶模仿方法 |
locomotion reinforcement learning |
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