| 1 |
In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics |
提出ICMPG框架以解决人类动作合成中的语义与物理现实性问题 |
MPC model predictive control open-vocabulary |
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| 2 |
HumanoidUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation |
提出HumanoidUMI框架以解决机器人演示数据收集效率低下问题 |
humanoid humanoid robot whole-body control |
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| 3 |
PressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitation |
提出PressMimic以解决类人机器人模仿中的接触动态问题 |
humanoid humanoid robot humanoid control |
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| 4 |
PhysReflect-VLA: Physical Feasibility and Self-Reflective Regulation for Reliable Vision-Language-Action Policies |
提出PhysReflect-VLA以解决长时间机器人操作中的物理可行性问题 |
manipulation vision-language-action VLA |
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| 5 |
PAMAE: Phase-Aware-MoE Action Experts Towards Reliable Flow-Matching Vision-Language-Action Policies |
提出PAMAE以解决多阶段机器人操作中的可靠动作生成问题 |
manipulation flow matching vision-language-action |
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| 6 |
Humanoid-DART: Humanoid Loco-Manipulation using Diffusion-guided Augmentation through Relabeling and Tracking |
提出自监督框架以解决人形机器人运动操控中的示范收集挑战 |
humanoid manipulation loco-manipulation |
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| 7 |
Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision |
提出StaKe框架以解决VLA模型微调中的结构化监督问题 |
manipulation bi-manual vision-language-action |
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| 8 |
World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays |
提出递归生成重放框架以解决机器人持续模仿学习问题 |
manipulation imitation learning world action model |
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| 9 |
RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation |
提出RelAfford6D以解决复杂机器人操控中的约束问题 |
manipulation affordance foundation model |
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| 10 |
Scalable Behavior Cloning with Open Data, Training, and Evaluation |
提出ABC以解决行为克隆中的数据获取与训练问题 |
manipulation teleoperation behavior cloning |
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| 11 |
SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation |
提出SSI-Policy以解决低数据环境下的机器人视觉语言操控问题 |
manipulation monocular depth cross-embodiment |
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| 12 |
VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity |
提出VibeAct以解决接触丰富环境下机器人灵巧操作问题 |
manipulation dexterous hand dexterous manipulation |
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| 13 |
Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline) |
提出基于强化学习的双手衣物折叠解决方案 |
bi-manual sim-to-real reinforcement learning |
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| 14 |
LA4VLA: Learning to Act without Seeing via Language-Action Pretraining |
提出LA4VLA框架以解决视觉依赖问题 |
manipulation vision-language-action VLA |
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| 15 |
Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention |
提出Tactile-WAM以解决接触丰富操作中的视觉预测不足问题 |
manipulation world action model world action models |
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| 16 |
Bridging Handheld and Teleoperated Supervision for Contact-Rich Manipulation via State-Gated Experts |
提出BRIDGE方法以解决手持与遥控监督在接触丰富操作中的融合问题 |
manipulation teleoperation diffusion policy |
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| 17 |
E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation |
提出E-TTS框架以解决机器人操作中的测试时间缩放问题 |
manipulation vision-language-action |
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| 18 |
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy |
提出OmniAct框架以解决机器人自主性与工具整合问题 |
manipulation VLA multimodal |
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| 19 |
IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control |
提出一种基于效应对齐的多智能体控制方法以解决动态不匹配问题 |
sim-to-real policy learning |
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| 20 |
Learning Motion Feasibility from Point Clouds in Cluttered Environments |
提出从点云学习运动可行性以解决复杂环境中的规划问题 |
manipulation motion planning task and motion planning |
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| 21 |
BOWConnect: Parallel Bayesian Optimization over Windows with Learned Local Cost Maps for Sample-Efficient Kinodynamic Motion Planning |
提出BOWConnect以解决高维运动规划中的样本效率问题 |
motion planning |
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| 22 |
RobOralScan: Learning Active Intraoral Scanning for Robotic Dental Reconstruction |
提出RobOralScan以解决口腔内扫描自动化不足问题 |
sim-to-real reinforcement learning |
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| 23 |
SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction |
提出SceneBot以解决人形机器人在接触丰富环境中的全身运动跟踪问题 |
humanoid humanoid control motion tracking |
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| 24 |
LA4VLA: Learning to Act without Seeing via Language-Action Pretraining |
提出LA4VLA框架以解决视觉-语言-动作模型的依赖问题 |
manipulation vision-language-action VLA |
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| 25 |
Learning to Throw: Agile and Accurate Cable-Suspended Payload Delivery with a Quadrotor |
提出混合仿真框架以解决悬挂载荷投放精度不足问题 |
manipulation trajectory optimization reinforcement learning |
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| 26 |
Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience |
提出支持约束强化学习以解决现实世界策略改进问题 |
manipulation sim-to-real reinforcement learning |
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| 27 |
AO-ARC: Almost-Surely Asymptotically Optimal Multi-Robot Motion Planning with ARC |
提出AO-ARC以解决多机器人运动规划问题 |
motion planning |
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