| 1 |
Vision-Language-Action Model and Diffusion Policy Switching Enables Dexterous Control of an Anthropomorphic Hand |
提出VLA模型与扩散模型切换控制方法,实现拟人手灵巧操作 |
manipulation dexterous manipulation diffusion policy |
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| 2 |
ALOHA Unleashed: A Simple Recipe for Robot Dexterity |
ALOHA Unleashed:基于大规模模仿学习实现机器人灵巧操作 |
manipulation dexterous manipulation bi-manual |
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| 3 |
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control |
提出偏好对齐扩散规划器,提升四足机器人运动控制在有限数据集下的鲁棒性。 |
quadruped locomotion Unitree |
✅ |
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| 4 |
Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation |
提出基于引导强化学习的多接触Loco-Manipulation鲁棒控制方法 |
manipulation loco-manipulation reinforcement learning |
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| 5 |
Automatic Navigation and Voice Cloning Technology Deployment on a Humanoid Robot |
在人形机器人Cruzr上部署自动导航与语音克隆技术 |
humanoid humanoid robot MPC |
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| 6 |
State Estimation Transformers for Agile Legged Locomotion |
提出基于Transformer的状态估计器SET,提升四足机器人敏捷运动性能 |
quadruped legged locomotion locomotion |
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| 7 |
Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance |
V-GPS:通过价值引导提升通用机器人策略的部署性能 |
manipulation offline RL foundation model |
✅ |
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| 8 |
Interactive Navigation with Adaptive Non-prehensile Mobile Manipulation |
提出基于自适应非抓取移动操作的交互式导航框架,解决未知动力学物体操作问题。 |
manipulation mobile manipulation |
✅ |
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| 9 |
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation |
RecoveryChaining:学习局部恢复策略以实现鲁棒操作 |
manipulation sim-to-real reinforcement learning |
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| 10 |
Jailbreaking LLM-Controlled Robots |
提出RoboPAIR算法,成功破解LLM控制的机器人,引发安全风险关注。 |
locomotion manipulation Unitree |
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| 11 |
Whisker-Inspired Tactile Sensing: A Sim2Real Approach for Precise Underwater Contact Tracking |
提出一种基于水下仿生触须的Sim2Real接触跟踪方法,实现精确水下物体定位。 |
sim-to-real sim2real |
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| 12 |
Just Add Force for Contact-Rich Robot Policies |
提出力反馈扩散策略,提升机器人细腻抓取的泛化性和效率 |
manipulation diffusion policy foundation model |
✅ |
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| 13 |
Power in Numbers: Primitive Algorithm for Swarm Robot Navigation in Unknown Environments |
提出一种基于群体数量的简单算法,用于未知环境中swarm机器人导航 |
sim-to-real reinforcement learning |
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| 14 |
SPF-EMPC Planner: A real-time multi-robot trajectory planner for complex environments with uncertainties |
提出基于安全概率场的扩展状态模型预测控制,解决复杂不确定环境下多机器人实时轨迹规划问题 |
model predictive control |
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| 15 |
RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion |
RAMPA:基于机器人增强现实的示教式机器学习编程 |
manipulation |
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