Multi-robot patrol path planning is conventionally formulated as the min-max multiple traveling salesman problem (min-max mTSP). Existing formulations typically assume robots must physically visit each target, overlooking their visual perception capabilities. However, in many scenarios, targets are considered covered o...
Bin-Bin Zuo, Xue-Yi Liu, Zi-Jie Zhao et al.· IEEE Robotics and Automation...· 0 citations
High-precision locomotion combines motion-command tracking with precise regulation of task-relevant physical states, enabling robots to interact reliably with their surroundings during motion. Joint end-to-end optimization can leave precision objectives insufficiently optimized, while reactive residual control adjusts...
Zi-Jie Zhao, Sheng-Qian Chen, Xiao-Xu Wang et al.· 0 citations
G0.5 is introduced, a pretrained autoregressive VLA in which a single transformer decoder emits reasoning and action tokens under a single objective, which exceeds state-of-the-art models across 7 independent regimes.
Yi-Cheng Liu, Zibin Dong, Baijun Ye et al.· 17 citations· ⚡2
M3W is a novel approach that applies mixture-of-experts (MoE) to world model instead of policy, enabling both learning and planning, and demonstrates superior performance, sample efficiency, and multi-task adaptability.
Zi-Jie Zhao, Zhong Zhao, Kaixuan Xu et al.· Neural Information Processin...· 9 citations
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