| 1 |
Iteratively Learning Muscle Memory for Legged Robots to Master Adaptive and High Precision Locomotion |
提出基于迭代学习控制和力矩库的腿式机器人控制框架，实现自适应和高精度运动 |
quadruped legged robot legged locomotion |
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| 2 |
EdgeVLA: Efficient Vision-Language-Action Models |
EdgeVLA：高效的视觉-语言-动作模型，加速边缘设备部署 |
manipulation mobile manipulation vision-language-action |
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| 3 |
Improving Low-Cost Teleoperation: Augmenting GELLO with Force |
通过力反馈增强GELLO低成本遥操作系统，提升灵巧操作性能 |
manipulation dexterous manipulation teleoperation |
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| 4 |
NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Agent Motion Planning |
提出NeHMO，用于分散式安全多智能体运动规划的神经Hamilton-Jacobi可达性学习 |
dual-arm trajectory optimization motion planning |
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| 5 |
Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation |
提出基于启发式运动记忆和上下文感知的自适应水下操作运动规划框架 |
manipulation motion planning |
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| 6 |
Improved particle swarm optimization algorithm: multi-target trajectory optimization for swarm drones |
提出PE-PSO算法，解决无人机集群动态环境下的实时轨迹优化问题 |
trajectory optimization |
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| 7 |
MorphIt: Flexible Spherical Approximation of Robot Morphology for Representation-driven Adaptation |
MorphIt：通过灵活的球体近似机器人形态，实现表征驱动的自适应 |
manipulation |
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| 8 |
A Segmented Robot Grasping Perception Neural Network for Edge AI |
针对边缘AI的分割机器人抓取感知神经网络，实现低功耗实时抓取 |
manipulation |
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| 9 |
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification |
提出基于共形收缩的鲁棒非线性控制框架，实现无分布假设的不确定性量化。 |
motion planning |
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