| 1 |
Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction |
提出步态自适应感知人形机器人运动框架,实现复杂地形下的实时足底地形重建。 |
humanoid humanoid robot humanoid locomotion |
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| 2 |
Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation |
提出可干预的可供性场以解决机器人操控中的记忆陷阱问题 |
manipulation affordance vision-language-action |
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| 3 |
See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations |
ViVLA:基于单次视频演示的视觉-语言-动作机器人操作模型 |
manipulation cross-embodiment vision-language-action |
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| 4 |
Multi-Domain Motion Embedding: Expressive Real-Time Mimicry for Legged Robots |
提出多域运动嵌入MDME,实现腿式机器人实时、高保真运动模仿。 |
quadruped legged robot humanoid |
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| 5 |
Surrogate compliance modeling enables reinforcement learned locomotion gaits for soft robots |
提出基于替代柔顺性建模的强化学习方法,实现软体机器人的稳健运动控制。 |
quadruped locomotion sim-to-real |
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| 6 |
VLD: Visual Language Goal Distance for Reinforcement Learning Navigation |
VLD:视觉语言目标距离学习,用于强化学习导航 |
sim-to-real reinforcement learning policy learning |
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| 7 |
Efficient and Compliant Control Framework for Versatile Human-Humanoid Collaborative Transportation |
提出一种高效且兼容的人形机器人协作搬运控制框架 |
humanoid humanoid robot whole-body control |
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| 8 |
Toward Seamless Physical Human-Humanoid Interaction: Insights from Control, Intent, and Modeling with a Vision for What Comes Next |
综述物理人机交互:从控制、意图与建模角度分析并展望未来 |
humanoid whole-body control |
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| 9 |
AMBER: Aerial deployable gripping crawler with compliant microspine for canopy manipulation |
AMBER:一种可空中部署的抓取履带机器人,用于树冠操作 |
locomotion manipulation |
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| 10 |
ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning |
ESPADA:基于语义感知的模仿学习演示数据降采样加速执行 |
manipulation imitation learning behavior cloning |
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| 11 |
Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection |
提出基于模型预测控制的自主水面艇协同对接方法,提升抗干扰能力 |
MPC model predictive control |
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| 12 |
Inchworm-Inspired Soft Robot with Groove-Guided Locomotion |
提出一种基于沟槽引导的单驱动软体蠕虫机器人,实现精确运动控制 |
locomotion |
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| 13 |
Multi-Rigid-Body Approximation of Human Hands with Application to Digital Twin |
提出一种人体手部多刚体近似方法,应用于数字孪生,实现高精度实时模拟。 |
manipulation reinforcement learning MANO |
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