| 1 |
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper |
提出一种便携式视觉触觉机械爪，用于学习复杂环境下的精细操作。 |
manipulation policy learning representation learning |
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| 2 |
CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning |
提出CoMoCAVs，利用多策略强化学习解决车联网环境下自主驾驶的决策与运动规划问题。 |
motion planning reinforcement learning |
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| 3 |
KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning |
KGN-Pro：基于概率2D-3D对应学习的关键点抓取预测网络 |
manipulation grasp prediction |
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| 4 |
Search-Based Autonomous Vehicle Motion Planning Using Game Theory |
提出基于博弈论的搜索式自动驾驶车辆运动规划方案，优化车辆路径。 |
motion planning |
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| 5 |
Heterogeneous object manipulation on nonlinear soft surface through linear controller |
提出基于几何变换PID控制的软表面异构物体操作方法 |
manipulation |
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| 6 |
Digital twin and extended reality for teleoperation of the electric vehicle battery disassembly |
提出基于数字孪生和扩展现实的电动汽车电池遥操作拆卸系统，提升安全性和效率。 |
teleoperation |
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