| 1 |
Impact-Aware Robotic Manipulation: Quantifying the Sim-To-Real Gap for Velocity Jumps |
提出基于物理引擎仿真的冲击感知机器人操作方法，量化速度跳变的Sim-to-Real差距。 |
manipulation sim-to-real motion planning |
|
|
| 2 |
Self-Body Image Acquisition and Posture Generation with Redundancy using Musculoskeletal Humanoid Shoulder Complex for Object Manipulation |
提出一种基于肩关节冗余的肌肉骨骼人形机器人自适应体像获取与姿态生成方法，用于物体操作。 |
humanoid manipulation |
|
|
| 3 |
Visuotactile-Based Learning for Insertion with Compliant Hands |
针对柔性手的插入任务，提出基于视觉触觉融合的策略学习框架 |
sim-to-real policy learning teacher-student |
|
|
| 4 |
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans? |
研究线性反馈在平滑动力学上对稳定接触丰富操作规划的有效性 |
manipulation whole-body manipulation bi-manual |
|
|
| 5 |
Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles |
CommonRoad自动驾驶运动规划竞赛结果发布，促进复杂交通场景算法评估 |
motion planning |
|
|
| 6 |
Motion Modification Method of Musculoskeletal Humanoids by Human Teaching Using Muscle-Based Compensation Control |
提出基于肌肉补偿控制的人体教学方法，用于调整肌肉骨骼人形机器人的运动。 |
humanoid |
|
|
| 7 |
Adaptive Body Schema Learning System Considering Additional Muscles for Musculoskeletal Humanoids |
针对肌肉骨骼人形机器人，提出考虑额外肌肉的自适应身体图式学习系统 |
humanoid |
|
|