| 1 |
Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection |
提出基于关节力矩空间扰动注入的Sim-to-Real人形机器人运动策略 |
legged robot humanoid humanoid locomotion |
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| 2 |
RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation |
RAMBO:强化学习增强的模型预测控制用于腿式机器人灵巧操作 |
quadruped legged robot bipedal |
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| 3 |
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments |
融合运动规划与深度强化学习,解决复杂环境下的模型无关导航问题 |
motion planning reinforcement learning deep reinforcement learning |
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| 4 |
OPAL: Encoding Causal Understanding of Physical Systems for Robot Learning |
OPAL:通过拓扑约束增强机器人学习的物理系统因果理解 |
manipulation flow matching vision-language-action |
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| 5 |
Collision avoidance from monocular vision trained with novel view synthesis |
提出基于单目视觉和新视角合成的避障策略,无需显式环境建模。 |
locomotion locomotion policy gaussian splatting |
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| 6 |
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation |
提出2BY2数据集和基于等变特征的两步SE(3)位姿估计方法,用于通用机器人操作中的多任务成对物体组装。 |
manipulation spatial relationship |
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| 7 |
Leveraging GCN-based Action Recognition for Teleoperation in Daily Activity Assistance |
提出基于GCN动作识别的遥操作框架,用于日常活动辅助 |
motion planning teleoperation |
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| 8 |
Developing Modular Grasping and Manipulation Pipeline Infrastructure to Streamline Performance Benchmarking |
构建模块化抓取与操作流水线,简化性能基准测试 |
manipulation |
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| 9 |
Overcoming Dynamic Environments: A Hybrid Approach to Motion Planning for Manipulators |
提出混合运动规划方法,提升机械臂在动态环境中的适应性和效率 |
motion planning |
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| 10 |
Data-Enabled Neighboring Extremal: Case Study on Model-Free Trajectory Tracking for Robotic Arm |
提出数据驱动邻域极值(DeeNE)框架,加速机器人手臂模型无关轨迹跟踪。 |
model predictive control |
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