Aerial image-goal navigation requires an unmanned aerial vehicle (UAV) to reach a target location specified by a goal image. Existing world-model-based methods rank candidate trajectories using predicted futures, but typically rely on only one or a few point predictions, which is inadequate for large-scale outdoor envi...
Deyi Zhu, Hao-Yu Fan, Yinan Zhu et al.· 2 citations
This work proposes an agent-based active exploration framework that enables robots to dynamically interact with the environment rather than merely execute predefined instructions, and introduces a fine-grained perception-execution interleaving strategy, which tightly couples visual feedback with skill execution to impr...
Shi-Lin Ma, Chu-Bin Zhang, Xu-Long Bai et al.· 0 citations
Variance Recovery Policy Optimization (VRPO) is introduced, which retains and progressively expands groups to recover informative signals from prompts that are difficult yet solvable and retains and progressively expands these groups to recover informative signals from prompts that are difficult yet solvable.
Jingqi Tian, Haoji Zhang, Lin Chen et al.· 0 citations
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