| 1 |
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation |
H-RDT:利用人类操作数据增强双臂机器人操作能力 |
manipulation bi-manual policy learning |
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| 2 |
BarlowWalk: Self-supervised Representation Learning for Legged Robot Terrain-adaptive Locomotion |
提出BarlowWalk以解决双足机器人地形适应性运动控制问题 |
legged robot bipedal biped |
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| 3 |
Quadratic Programming-Based Posture Manipulation and Thrust-vectoring for Agile Dynamic Walking on Narrow Pathways |
提出基于二次规划的姿态控制与推力矢量方法,实现四足机器人窄路敏捷动态行走 |
quadruped legged robot locomotion |
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| 4 |
CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System |
CHILD:一种全身人形机器人遥操作系统,实现类人模仿与实时演示 |
humanoid humanoid robot manipulation |
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| 5 |
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models |
villa-X:增强视觉-语言-动作模型中的潜在动作建模,提升机器人操作策略泛化性 |
manipulation dexterous hand open-vocabulary |
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| 6 |
XRoboToolkit: A Cross-Platform Framework for Robot Teleoperation |
提出XRoboToolkit,用于扩展现实的跨平台机器人遥操作框架 |
manipulation dexterous hand teleoperation |
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| 7 |
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks |
提出MTBench:大规模并行多任务强化学习机器人任务基准测试平台 |
locomotion manipulation reinforcement learning |
✅ |
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| 8 |
Human-Exoskeleton Kinematic Calibration to Improve Hand Tracking for Dexterous Teleoperation |
提出一种外骨骼手部运动学标定框架,提升灵巧遥操作的手部追踪精度 |
manipulation teleoperation |
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| 9 |
Quantifying and Visualizing Sim-to-Real Gaps: Physics-Guided Regularization for Reproducibility |
提出物理引导增益正则化方法,缩小平衡机器人Sim-to-Real差距。 |
sim-to-real domain randomization |
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| 10 |
Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits |
提出基于强化学习和领域随机化的漂移控制方法,解决车辆极限工况下的操控问题 |
domain randomization reinforcement learning |
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| 11 |
Optimization of Flip-Landing Trajectories for Starship based on a Deep Learned Simulator |
提出基于深度学习模拟器的星舰翻转着陆轨迹优化框架 |
trajectory optimization |
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| 12 |
Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications |
提出基于DTSP和NMPC的农业机器人多航路点路径规划与运动控制方法 |
model predictive control |
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