| 1 |
DexTele: A Dual-Arm Dexterous Teleoperation System Based on Motion Retargeting and Adaptive Force Control |
提出DexTele以解决双臂灵巧遥操作中的运动重定向与抓取问题 |
dual-arm MPC model predictive control |
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| 2 |
RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation |
提出RynnWorld-Teleop以解决机器人学习数据收集瓶颈问题 |
bi-manual sim2real teleoperation |
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| 3 |
From Foundation to Application: Improving VLA Models in Practice |
提出LingBot-VLA 2.0以解决VLA模型在实际应用中的不足 |
manipulation mobile manipulation dexterous hand |
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| 4 |
ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations |
提出ThorArena以解决人形机器人物理交互评估问题 |
humanoid humanoid robot humanoid control |
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| 5 |
Calf-Integrated Arms for Bimanual Quadruped Loco-Manipulation |
提出小腿集成臂以解决四足机器人双手操控问题 |
quadruped manipulation loco-manipulation |
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| 6 |
RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation |
提出RynnWorld-4D以解决机器人操作中的4D动态预测问题 |
manipulation bi-manual bimanual manipulation |
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| 7 |
WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation |
提出WristMimic以解决全身类人控制中的手腕引导操控问题 |
humanoid humanoid control whole-body control |
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| 8 |
UniLM-Nav: A Unified Framework for Zero-Shot Last-Mile Navigation |
提出UniLM-Nav以解决零-shot最后一公里导航问题 |
quadruped manipulation mobile manipulation |
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| 9 |
Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation |
提出Lift3D-VLA以解决VLA模型在3D几何理解中的不足问题 |
manipulation MAE vision-language-action |
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| 10 |
Training-Free Acceleration for Vision-Language-Action Models with Action Caching and Refinement |
提出ActionCache以解决VLA模型实时推理延迟问题 |
manipulation flow matching vision-language-action |
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| 11 |
LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation |
提出LAMP框架以解决灵巧手操作中的学习效率问题 |
manipulation dexterous hand dexterous manipulation |
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| 12 |
GraspIT: A Dataset Bridging the Sim-to-Real gap and back for Validated Grasping SE(3) Pose Generation |
提出GraspIT以解决机器人抓取数据集缺乏真实验证的问题 |
manipulation sim-to-real policy learning |
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| 13 |
Learning to Throw Objects Safely in Multi-Obstacle Environments |
提出潜场状态表示以解决多障碍环境中的安全投掷问题 |
sim-to-real reinforcement learning SAC |
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| 14 |
MP-MPPI: A Motion Primitive Guided Sampling-Based Optimizer for Model Predictive Control |
提出MP-MPPI以解决采样控制器路径规划能力不足的问题 |
model predictive control |
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| 15 |
EAGOR: Embodied Reasoning in Omni-direction |
提出EAGOR以解决360°方向推理问题 |
legged robot egocentric |
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| 16 |
Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles |
提出CE-MPPI以解决动态障碍物下的平均化失败问题 |
motion planning |
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| 17 |
Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction |
提出基于生命周期的框架以解决人机交互中的个性化伦理风险问题 |
manipulation |
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| 18 |
OrchardBench: A Physically-Grounded, GPU-Parallel Apple-Orchard Simulation Benchmark for Agricultural Robotics |
提出OrchardBench以解决农业机器人果树采摘仿真问题 |
domain randomization |
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| 19 |
RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures |
提出RoboTALES以解决机器人政策学习中的任务对齐问题 |
manipulation |
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