| 1 |
Learning Force Control for Legged Manipulation |
提出一种无需力传感器的强化学习方法,实现腿式机器人力控操作。 |
quadruped legged robot whole-body control |
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| 2 |
Differentiable Particles for General-Purpose Deformable Object Manipulation |
提出可微粒子(DiPac)算法,用于通用可变形物体操作 |
manipulation sim-to-real trajectory optimization |
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| 3 |
Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality |
提出Generalized ECBS算法,在多机器人操作中实现任意约束下的有界次优规划 |
manipulation motion planning |
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| 4 |
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation |
Track2Act:利用互联网视频预测点轨迹,实现通用机器人操作 |
manipulation |
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| 5 |
Haptic-Based Bilateral Teleoperation of Aerial Manipulator for Extracting Wedged Object with Compensation of Human Reaction Time |
提出基于触觉反馈和人类反应时间补偿的无人机遥操作方法,用于楔形物体拔出 |
teleoperation |
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| 6 |
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals |
提出Imagine2touch,利用视觉预测触觉信号,提升机器人操作能力 |
manipulation |
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| 7 |
Space Debris Reliable Capturing by a Dual-Arm Orbital Robot: Detumbling and Caging |
提出基于重复接触的阻抗控制方法,用于双臂轨道机器人捕获空间碎片前的消旋与笼捕 |
dual-arm |
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| 8 |
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space |
提出基于程序化生成和深度强化学习的空间自主插孔装配方法 |
domain randomization reinforcement learning deep reinforcement learning |
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