| 1 |
Learning Robot Policies for Whole-Body Mobility Assistance via Dynamic Human Motion Generation |
提出基于动态人类动作生成的机器人全身移动辅助策略 |
sim-to-real diffusion policy motion generation |
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| 2 |
TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments |
提出TRACE框架以解决类人机器人控制的跨体型适应问题 |
humanoid humanoid control whole-body control |
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| 3 |
YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation |
提出YUBI-Real2Sim以解决真实机器人政策评估中的场景重建问题 |
bi-manual real2sim 3D gaussian splatting |
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| 4 |
EgoExplorer: A Vision-Motion-Touch Observatory for Human Loco-Manipulation In Situ |
提出EgoExplorer以解决人类运动与操控数据收集不足问题 |
humanoid whole-body control locomotion |
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| 5 |
DR-VLA: Learning Human-Like Quadruped Navigation from Egocentric Web Videos via Domain-Invariant Scene Representations |
提出DR-VLA以解决四足机器人导航中的场景理解问题 |
quadruped flow matching world model |
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| 6 |
Breaking the Average: Overcoming Convergent Defaults in Robotic Manipulation via Diagnostic Chain-of-Thought and Structured Guidance |
提出新框架以解决机器人操作中的收敛默认问题 |
manipulation behavior cloning vision-language-action |
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| 7 |
EgoCPT: Learning Dexterous Manipulation from a Single Ego-Centric Video with Contact-Aware Optimization |
提出EgoCPT以解决从人类视频学习灵巧操作的挑战 |
manipulation dexterous hand dexterous manipulation |
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| 8 |
Cross-Embodiment Affordance Transfer for Robotic Manipulation |
提出跨体现 affordance 转移框架以解决机器人操作中的人机不匹配问题 |
manipulation affordance cross-embodiment |
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| 9 |
WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction |
提出WAVE-0框架以解决VLA与WAM间的整合问题 |
manipulation world model world models |
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| 10 |
GreenWAM: A World Foundation Model for Robotics |
提出GreenWAM以解决机器人世界模型与策略选择的双重问题 |
humanoid bi-manual world model |
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| 11 |
EgoMatrix: Physically Faithful Dexterous Robot Demonstrations from Egocentric Human Videos |
提出EgoMatrix以解决从第一人称视频获取机器人演示数据的问题 |
manipulation dexterous manipulation bi-manual |
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| 12 |
Walk Like This: Stylized Locomotion for Physics-Based Characters through Example-Driven Diffusion |
提出基于示例驱动扩散的风格化步态控制方法 |
legged locomotion humanoid locomotion |
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| 13 |
ForkCast: Predictive Recovery for Vision-Language-Action Policies via Counterfactual Futures |
提出ForkCast框架以解决视觉-语言-动作策略中的恢复问题 |
manipulation world model world models |
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| 14 |
Interaction Latents as Actions for Contact-Rich Manipulation |
提出ILA方法以解决接触丰富的机器人操作问题 |
manipulation flow matching world action model |
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| 15 |
I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation |
提出I3L以解决长时间全身移动操控的可靠性问题 |
manipulation mobile manipulation imitation learning |
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| 16 |
EqC: Equilibrium Energy Control for Introspective Lifelong Robot Learning |
提出EqC框架以解决机器人自主学习中的行为一致性问题 |
manipulation bi-manual bimanual manipulation |
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| 17 |
Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation |
提出Orchestra以解决长时间机器人操作中的多步骤指令问题 |
manipulation multimodal |
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| 18 |
RoboSimStudio: An Interactive Toolkit for Rapid Real2Sim of Robot Manipulation Tasks |
提出RoboSimStudio以解决机器人操控任务的真实与模拟间的物理建模问题 |
manipulation sim2real real2sim |
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| 19 |
CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation |
提出CoSMO框架以解决开放世界安全机器人导航问题 |
quadruped semantic mapping semantic map |
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| 20 |
DexStitch: Learning and Composing Dexterous Skills from Human Videos via Contact-Aware Robotic Inpainting |
提出DexStitch以解决机器人技能学习中的视频转移问题 |
manipulation dexterous hand teleoperation |
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| 21 |
Acting Through Registers |
提出RegisterWAM以解决WAM中空间异常值问题 |
manipulation flow matching world model |
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| 22 |
ForceWAM: Decoupling Future and Response Learning from Demo and Play Data for Contact-Rich Manipulation |
提出ForceWAM以解决接触丰富任务中的动态学习问题 |
manipulation world model world models |
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| 23 |
WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions |
提出WorldOracle基准以评估动作条件世界模型的真实执行能力 |
manipulation world model world models |
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| 24 |
LynxScenes: A Large-Scale Real-World Benchmark for Outdoor Wheel-Legged Robot Perception, Navigation, Imagination and Reconstruction |
提出LynxScenes数据集以解决户外轮腿机器人感知与导航问题 |
legged robot world model world models |
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| 25 |
From Pixels to Executable Physics: Behavior-Grounded World Models for Embodied Action Consequence Prediction |
提出DR-WM以解决四足机器人动作结果预测问题 |
quadruped world model world models |
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| 26 |
Box-WAM: Box Trajectories as Compact State Representations for World Action Models |
提出Box-WAM以解决视频预测计算成本高的问题 |
manipulation world action model world action models |
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| 27 |
CALM: Decentralized Control of Cooperative Aerial Manipulation with Multi-Agent Reinforcement Learning |
提出CALM以解决多无人机协作操控中的挑战 |
manipulation reinforcement learning |
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| 28 |
RESTA: Time-Scaling Augmentation for Data-Efficient Robot Imitation Learning |
提出RESTA以提高机器人模仿学习的数据效率 |
manipulation bi-manual bimanual manipulation |
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| 29 |
Benchmarking Interaction-Oriented Aerial Mobility across Heterogeneous Environments |
提出CrossFly基准以解决异构环境下无人机交互移动问题 |
manipulation mobile manipulation vision-language-action |
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| 30 |
LAG-IO: Multi-IMU State Estimation for Legged Robots Using Factor Graphs |
提出LAG-IO以解决腿部机器人状态估计问题 |
quadruped legged robot locomotion |
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| 31 |
PACT: Posture-Aligned Co-Design Technique for Hand Configuration and Retargeting in Multi-Finger Imitation Learning |
提出PACT以优化多指模仿学习中的手部配置与重定向 |
teleoperation imitation learning human-to-robot |
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| 32 |
Beyond Safe Execution: Safe Online Reinforcement Learning for Autonomous Driving with Value Calibration and Adaptive Guidance |
提出SOAR-Flow框架以解决自主驾驶中的安全在线强化学习问题 |
MPC model predictive control reinforcement learning |
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| 33 |
RoboFQE: Rollout-Free Evaluation of Visual Robot Policies from Offline Trajectories |
提出RoboFQE以解决机器人策略评估中的回滚需求问题 |
manipulation world model world models |
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| 34 |
Locomotion with Online Awareness of Dynamics for Precision Footholds |
提出LOAD框架以解决未知负载下的精确步态问题 |
locomotion height map |
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| 35 |
Beyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations |
提出Whole-Arm Contact Learning以解决机器人接触操控问题 |
manipulation teleoperation |
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| 36 |
LADDER: A Long-Horizon Robot Manipulation Benchmark |
提出LADDER基准以解决长时间机器人操作任务的挑战 |
manipulation |
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| 37 |
ReEnvision: Future-Guided Selective Action Repair for Long-Horizon Manipulation |
提出ReEnvision以解决长时间机器人操作中的选择性动作修复问题 |
manipulation |
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| 38 |
UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models |
提出UniW(A)M框架以解决世界模型与动作模型的知识孤岛问题 |
manipulation world model world models |
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| 39 |
ForeTac: Predictive Contact Guidance for Generative Robot Policies |
提出ForeTac以解决接触丰富操作中的反馈延迟问题 |
manipulation diffusion policy flow matching |
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| 40 |
Contact Trajectory Prompting: In-Context Transfer of Contact-Rich Behaviors from a Single Demonstration |
提出接触轨迹提示以解决单次演示的接触丰富行为转移问题 |
manipulation |
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| 41 |
Intent-guided Adaptive Stiffening for Visuomotor Policies under Unknown Resistance |
提出意图引导自适应刚度以解决未知阻力下的操控问题 |
manipulation |
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| 42 |
GLST: Global-Local Spatio-Temporal Memory Decomposition Framework for Online Chained-Goal Navigation |
提出GLST框架以解决在线链式目标导航问题 |
quadruped |
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| 43 |
Physics-Aware Object-Centric SE(3) Forecasting for Real-Time Proactive Dynamic Grasping |
提出基于物理的物体中心SE(3)预测以解决动态抓取问题 |
reachability-aware |
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| 44 |
TacSpin: Tactile Tracking of In-Gripper Object Rotation on SO(3) via Axis-Magnitude Estimation |
提出TacSpin以解决抓取物体旋转跟踪问题 |
manipulation |
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