| 1 |
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation |
ForceVLA:力觉感知的混合专家模型增强接触式操作的VLA模型 |
manipulation dexterous manipulation vision-language-action |
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| 2 |
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control |
提出GBC框架,利用LLM驱动的分层行为计划生成多样且逼真的人形行为 |
humanoid motion planning motion generation |
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| 3 |
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control |
FastTD3:一种简单、快速且适用于人形机器人控制的强化学习算法 |
humanoid humanoid robot humanoid control |
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| 4 |
DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation |
DexUMI:利用人手作为通用操控界面,实现灵巧操作技能迁移 |
manipulation dexterous manipulation policy learning |
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| 5 |
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning |
ReinFlow:在线强化学习微调Flow Matching策略,提升连续机器人控制性能 |
legged locomotion locomotion manipulation |
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| 6 |
TwinTrack: Bridging Vision and Contact Physics for Real-Time Tracking of Unknown Dynamic Objects |
TwinTrack:融合视觉与接触物理,实现未知动态物体实时跟踪 |
manipulation in-hand manipulation sim2real |
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| 7 |
Learning Compositional Behaviors from Demonstration and Language |
BLADE:融合语言与示教的长程机器人操作行为学习框架 |
manipulation imitation learning large language model |
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| 8 |
Prior Reinforce: Mastering Agile Tasks with Limited Trials |
Prior Reinforce:通过少量试验掌握敏捷任务的强化学习方法 |
manipulation motion planning reward design |
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| 9 |
Spring-Brake! Handed Shearing Auxetics Improve Efficiency of Hopping and Standing |
利用手性剪切膨胀结构,提升单足跳跃机器人跳跃和站立的能效 |
legged robot locomotion |
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| 10 |
LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents |
LabUtopia:为科学具身智能体提供高保真模拟与分层基准测试。 |
manipulation mobile manipulation |
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| 11 |
VR-Based Control of Multi-Copter Operation |
提出基于VR的无人机遥操作系统,提升未知环境下的安全性。 |
teleoperation |
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| 12 |
Spot-On: A Mixed Reality Interface for Multi-Robot Cooperation |
提出一种混合现实界面,用于多足机器人协作完成复杂任务。 |
quadruped |
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