| 1 |
GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control |
GPO：用于腿式机器人运动和全身控制的生长策略优化方法 |
quadruped legged robot legged locomotion |
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| 2 |
Shallow-π: Knowledge Distillation for Flow-based VLAs |
Shallow-π：面向流式VLA模型的知识蒸馏，显著加速机器人实时部署。 |
humanoid manipulation distillation |
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| 3 |
Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulation |
提出TaF-VLA，通过触觉-力对齐实现力觉感知操作的视觉-语言-动作模型 |
manipulation vision-language-action VLA |
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| 4 |
TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object Refinement |
提出TRACER框架，增强机器人对纹理复杂形变物体操作的认知与控制。 |
manipulation affordance chain-of-thought |
✅ |
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| 5 |
Demonstration-Free Robotic Control via LLM Agents |
提出FAEA：利用通用LLM Agent实现免示教机器人控制 |
manipulation vision-language-action VLA |
✅ |
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| 6 |
STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation |
STORM：面向机器人操作的基于槽位的任务感知对象中心表示 |
manipulation foundation model |
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| 7 |
One Step Is Enough: Dispersive MeanFlow Policy Optimization |
提出Dispersive MeanFlow Policy Optimization，实现机器人实时控制的单步策略生成。 |
locomotion manipulation reinforcement learning |
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| 8 |
Vibro-Sense: Robust Vibration-based Impulse Response Localization and Trajectory Tracking for Robotic Hands |
Vibro-Sense：基于振动感知的机器人手部高精度触觉定位与轨迹跟踪 |
manipulation PULSE |
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| 9 |
End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting |
提出基于神经风格化的端到端示例强化学习策略迁移方法，用于机器人切割任务 |
sim-to-real reinforcement learning |
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| 10 |
TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance |
TouchGuide：通过触觉引导，在推理时操控视觉运动策略，提升接触密集型操作性能。 |
manipulation flow matching contrastive learning |
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