| 1 |
HDMI: Learning Interactive Humanoid Whole-Body Control from Human Videos |
HDMI:从人类视频学习交互式人形机器人全身控制 |
humanoid humanoid robot whole-body control |
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| 2 |
LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning |
LLM引导强化学习中的任务和可供性探索,提升机器人操作效率 |
manipulation sim-to-real reinforcement learning |
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| 3 |
KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control |
KungfuBot2:学习通用运动技能的人形机器人全身控制 |
humanoid humanoid robot whole-body control |
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| 4 |
TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation |
TranTac:利用瞬态触觉信号实现高接触力度的机器人操作 |
manipulation diffusion policy |
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| 5 |
No Need for Real 3D: Fusing 2D Vision with Pseudo 3D Representations for Robotic Manipulation Learning |
提出NoReal3D框架,融合2D视觉与伪3D表示用于机器人操作学习 |
manipulation policy learning |
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| 6 |
ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows |
提出ReSeFlow,一种快速且SE(3)等变的策略学习方法,提升机器人操作效率。 |
manipulation policy learning |
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| 7 |
Nonlinear Model Predictive Control with Single-Shooting Method for Autonomous Personal Mobility Vehicle |
提出基于单次射击法的非线性模型预测控制,用于自主个人交通工具。 |
model predictive control |
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