| 1 |
Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper |
在真实环境中，基准测试强化学习算法在三指灵巧操作上的性能 |
manipulation dexterous manipulation in-hand manipulation |
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| 2 |
Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation |
提出Robo-GS，用于机器人臂的物理一致性空间-时间混合表示建模，提升Real2Sim2Real效果。 |
sim2real real2sim reinforcement learning |
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| 3 |
This is the Way: Mitigating the Roll of an Autonomous Uncrewed Surface Vessel in Wavy Conditions Using Model Predictive Control |
提出基于模型预测控制的无人艇横摇抑制方法，提升波浪环境适应性 |
model predictive control |
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| 4 |
SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks |
SpecGuard：针对物理攻击，为机器人自主车辆提供规范感知的恢复方案 |
recovery control reinforcement learning deep reinforcement learning |
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| 5 |
Fast and Modular Autonomy Software for Autonomous Racing Vehicles |
针对无人驾驶赛车，提出快速且模块化的自主软件栈，应用于高速多智能体场景。 |
motion planning |
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| 6 |
Distributed Planning for Rigid Robot Formations with Probabilistic Collision Avoidance |
提出一种分布式方法，用于刚性机器人编队运动中的概率碰撞避免 |
teleoperation |
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| 7 |
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics |
Points2Plans：利用可组合关系动力学，从点云生成长时程操作规划。 |
manipulation |
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