| 1 |
Fast Motion Retargeting Pipeline for Scalable Humanoid Robot Learning |
提出FRDV框架以解决人形机器人运动重定向问题 |
humanoid humanoid robot motion tracking |
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| 2 |
SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World Model |
提出SuperMimic以解决人形机器人全身控制的计算瓶颈问题 |
humanoid whole-body control motion tracking |
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| 3 |
LocoPilot: Single-Operator Bilateral Teleoperation for Loco-Manipulation Policy Learning |
提出LocoPilot以解决单操作者双向遥控的挑战 |
quadruped manipulation loco-manipulation |
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| 4 |
Adaptive Traversal Tubes for Posture-Aware Navigation of Bipedal Humanoids |
提出自适应通行管道以解决双足人形机器人姿态感知导航问题 |
humanoid bipedal biped |
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| 5 |
RoboCasa-Shift: Stage-Aware Robustness Evaluation of Vision-Language-Action Policies in Long-Horizon Household Manipulation |
提出RoboCasa-Shift以解决长时间家居操作中的VLA鲁棒性评估问题 |
manipulation vision-language-action VLA |
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| 6 |
VLM-Guided Contact Retargeting and Generative Partner Modeling for Humanoid-Human Interaction |
提出REACT框架以解决人形机器人与人类交互中的部分可观测性问题 |
humanoid Unitree egocentric |
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| 7 |
Physical Canvas: A Vision Tactile World Model For Robot Policy Evaluation And Learning |
提出PhysCanvas以解决机器人政策评估中的接触动态问题 |
manipulation world model world models |
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| 8 |
Reasoning as a Distribution: Generative Plan Latents for Vision-Language-Action Models |
提出生成计划潜变量以解决视觉-语言-行动模型的推理问题 |
manipulation vision-language-action VLA |
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| 9 |
From Predictive Geometry to Action: Learning Complementary Predictive Representations for Embodied Manipulation |
提出双阶段框架以解决动作生成中的预测几何表示问题 |
manipulation bi-manual VLA |
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| 10 |
FIT-MAC: A Closed-Loop Multi-Agent Framework for Robust Vision-Language-Action Models |
提出FIT-MAC框架以提升视觉-语言-动作模型的鲁棒性 |
manipulation vision-language-action VLA |
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| 11 |
Learning Adaptable Dexterous Skills via Hybrid Dexterous Mimicking |
提出AdaDex框架以解决灵巧技能学习中的适应性问题 |
motion tracking reinforcement learning HOI |
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| 12 |
Frontier LLMs Enter the World of Robotics: A Cross-Model Evaluation on RoboColiseum |
通过Agent2Act评估多模态大语言模型在机器人控制中的应用 |
manipulation dexterous hand large language model |
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| 13 |
PLaCA: Learning Patch-Level Future Latent Change for Action Generation |
提出PLaCA以解决机器人动作生成中的环境变化预测问题 |
manipulation latent dynamics vision-language-action |
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| 14 |
AWLS: Advantage-Weighted Latent Steering for One-Step Generative Robotic Manipulation Policies |
提出AWLS以优化一阶段生成机器人操作策略 |
manipulation offline RL behavior cloning |
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| 15 |
Learning Tactile-Aware Hand Representations from Human Hand-Object Interaction Data |
提出HuTact框架以利用人手物体交互数据提升机器人触觉学习 |
manipulation dexterous manipulation policy learning |
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| 16 |
Large Multimodal Models for Direct Robot Control: GPT-6 as a Beginning |
提出GPT-6 Astra以解决机器人直接控制中的能力不足问题 |
manipulation multimodal |
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| 17 |
Plausible Future, Wrong Choice: Steering World-Action Models toward Intended Future |
提出TaskWAM以解决长时间操作中的阶段混淆问题 |
humanoid humanoid robot manipulation |
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| 18 |
Real-Time Disturbance-Aware Koopman Model Predictive Control for Quadrotors in Spatially Varying Winds |
提出一种实时干扰感知的Koopman模型预测控制以解决四旋翼在变化风场中的飞行问题 |
MPC model predictive control predictive model |
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| 19 |
EventSync: Event-Driven Memory Updates for History-Dependent Manipulation |
提出EventSync以解决历史依赖机器人操控中的记忆更新问题 |
manipulation vision-language-action |
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| 20 |
Prescribed Performance Guided Safe Reinforcement Learning for Roundabout Navigation of Autonomous Vehicles |
提出RLTrajGen-PPMPC-CBF框架以解决自动驾驶车辆环形交叉口导航问题 |
MPC model predictive control reinforcement learning |
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| 21 |
SceneRig: An Agentic System for Simulation-Ready 3D Scene Reconstruction from Single Images |
提出SceneRig以解决单图像3D场景重建问题 |
manipulation scene reconstruction |
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| 22 |
Physical AI for Intralogistics: Benchmarking the NVIDIA Sim-to-Real Ecosystem for Cosmos-Enhanced COMPASS Navigation on Industrial Mobile Robots |
基于NVIDIA Cosmos的COMPASS导航提升工业移动机器人导航性能 |
humanoid sim-to-real |
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| 23 |
EchoNav: Evidential BEV Completion from Historical Observations for Visual Navigation |
提出EchoNav框架以解决视觉导航中的障碍物推断问题 |
quadruped humanoid humanoid robot |
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| 24 |
UniWALM: Unified World Action Language Model for Embodied Robot Control |
提出UniWALM以解决机器人控制中的多模态学习问题 |
manipulation flow matching VLA |
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| 25 |
AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics |
提出AgenticRoboRL以提升机器人规划能力 |
manipulation reinforcement learning VLA |
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| 26 |
Embodied Task Agents Can Perform Fine Manipulation through Tactile In-Context Learning |
提出Tactile-ETA以解决细致操作中的触觉学习问题 |
manipulation |
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| 27 |
HATCH: Hardware-Attested Task Chains for Verifiable Manipulation |
提出HATCH以解决机器人操作能力验证问题 |
manipulation |
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| 28 |
GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models |
提出GPT-6-Astra以解决触觉理解与机器人操控问题 |
manipulation multimodal |
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| 29 |
What Novice Operators See Changes What the Policy Learns: A User Study of Keypoint Hand Visual Representation for Teleoperated Demonstration |
提出基于关键点手部视觉表示的用户研究以提升模仿学习效果 |
teleoperation imitation learning diffusion policy |
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| 30 |
Towards Autonomous Bricklaying Using Boston Dynamics Spot |
提出基于Boston Dynamics Spot的自主砌砖系统以解决建筑施工问题 |
quadruped legged robot |
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| 31 |
Temporal Difference Learning of Probabilistic Reach-Avoid Value Functions |
提出概率性达避值函数以解决不确定环境中的任务安全问题 |
locomotion |
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