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High-Perception-Area Collaborative Exploration of Double-Integrator Robots in Parabolic-Type Diffusion Fields with Partially Unknown Information

  • Rui Guo Li*
  • , Liang Wang
  • , Huai Ning Wu
  • *此作品的通讯作者
  • Tiangong University
  • Shenzhen University

科研成果: 期刊稿件文章同行评审

摘要

This article solves a high-perception-area collaborative exploration issue for double-integrator robots in 2-dimensional parabolic-type diffusion scalar fields with partially unknown information. In the absence of surrounding field density information for robots, a distributed field density observer with adaptive update laws and event-triggering mechanisms is built to approximate necessary field density information. Taking into account of the scenario that robot's actual velocity is unmeasurable, we design a prescribed-time velocity estimator to compensate unavailable velocity information along a settling time. Coupled by the field density observer and prescribed-time velocity estimator, a velocity-free guidance law with event-triggering mechanisms is developed for robots to complete the high-perception-area collaborative exploration task under locally available field density information. For the proposed theory, we perform simulation tests to validate the feasibility of the provided scheme.

源语言英语
期刊IEEE Transactions on Automatic Control
DOI
出版状态已接受/待刊 - 2026

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