| 1 |
H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos |
提出H2R数据增强方法,弥合人与机器人视觉差异,提升机器人预训练效果 |
manipulation policy learning egocentric |
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| 2 |
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning |
提出OneTwoVLA,统一视觉-语言-动作模型,提升机器人自适应推理能力 |
manipulation dexterous manipulation vision-language-action |
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| 3 |
GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation |
GLOVER++:利用人类行为中的可供性学习提升机器人操作能力 |
manipulation open-vocabulary open vocabulary |
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| 4 |
Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies |
提出一种融合模型控制与强化学习的策略,实现高精度插件插入的Sim2Real迁移。 |
sim2real reinforcement learning zero-shot transfer |
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| 5 |
Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control |
针对视障人士,提出低噪声、稳定步态的导盲犬机器人运动控制方案 |
quadruped locomotion Unitree |
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| 6 |
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines |
提出GOLLUM以解决持续运动学习中的四大挑战 |
locomotion |
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| 7 |
PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter |
提出PROBE,利用本体感觉进行杂乱环境中障碍物检测与估计 |
quadruped Unitree |
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| 8 |
L2D2: Robot Learning from 2D Drawings |
L2D2:提出一种基于2D草图的机器人模仿学习方法,降低人工示教成本。 |
manipulation imitation learning |
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| 9 |
Bench-NPIN: Benchmarking Non-prehensile Interactive Navigation |
提出Bench-NPIN,用于评估非抓取交互式导航算法,解决缺乏统一评估标准问题。 |
manipulation |
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| 10 |
Proactive tactile exploration for object-agnostic shape reconstruction from minimal visual priors |
提出一种主动触觉探索方法,从少量视觉先验信息中进行物体形状重建 |
manipulation |
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| 11 |
Master Rules from Chaos: Learning to Reason, Plan, and Interact from Chaos for Tangram Assembly |
MRChaos:通过混沌学习推理、规划和交互,解决七巧板拼装机器人难题 |
manipulation |
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