| 1 |
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation |
NeuralFeels:结合视觉触觉的神经场方法,用于灵巧手内操作中的物体姿态和形状估计 |
manipulation in-hand manipulation multimodal |
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| 2 |
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation |
提出GR-1:基于大规模视频生成预训练的视觉机器人操作模型 |
manipulation language conditioned |
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| 3 |
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation |
提出基于行为的合作导航安全多智能体强化学习方法,解决无个体目标的多机器人协同问题。 |
MPC model predictive control reinforcement learning |
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| 4 |
Model-Based Control with Sparse Neural Dynamics |
提出基于稀疏神经动力学的模型预测控制框架,提升复杂接触动力学任务性能。 |
manipulation predictive model |
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