| 1 |
A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot |
提出全身运动模仿框架以解决类人机器人运动模仿问题 |
humanoid humanoid robot whole-body control |
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| 2 |
TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots |
提出时间优化策略以解决人形机器人稳定精确的站立操控问题 |
humanoid humanoid robot whole-body control |
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| 3 |
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation |
提出LightDP以解决移动平台上扩散策略的计算效率问题 |
manipulation imitation learning diffusion policy |
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| 4 |
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations |
提出基于优化示范的学习框架以解决非抓取操作问题 |
manipulation sim-to-real trajectory optimization |
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| 5 |
Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging |
提出Omni-Scan以解决高质量3D模型生成问题 |
bi-manual 3DGS optical flow |
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| 6 |
Improving Drone Racing Performance Through Iterative Learning MPC |
通过迭代学习MPC提升无人机竞速性能 |
MPC model predictive control |
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| 7 |
A control scheme for collaborative object transportation between a human and a quadruped robot using the MIGHTY suction cup |
提出一种控制方案以实现人类与四足机器人协作搬运物体 |
quadruped Unitree |
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| 8 |
HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning |
提出HannesImitation以解决假肢抓取控制问题 |
manipulation imitation learning diffusion policy |
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| 9 |
Video Generators are Robot Policies |
提出视频生成方法以解决机器人策略学习中的数据限制问题 |
manipulation dexterous manipulation policy learning |
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