Stochastic Task and Motion Planning Problems
收藏arXiv2025-09-30 收录
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https://aair-lab.github.io/stamp.html
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资源简介:
该数据集涵盖了在随机环境中评估的任务与动作规划问题的多种配置,涉及在不确定性条件下机器人与物体的交互。这些问题包括不同脆弱性的罐装场景、无人机巡检任务,以及机器人在执行物体操作和建造任务时的情景。数据集涵盖了4个领域内的7个多样化问题,任务旨在为在随机环境中的机器人实现集成任务与动作规划。
This dataset encompasses multiple configurations of task and motion planning problems evaluated in stochastic environments, involving robot-object interactions under uncertainty. These problems include scenarios with canned objects of varying fragility, unmanned aerial vehicle (UAV) inspection tasks, and scenarios where robots perform object manipulation and construction tasks. The dataset includes seven diverse problems across four domains, aiming to enable integrated task and motion planning for robots operating in stochastic environments.
提供机构:
AAIR Lab



