SOURCE-LINKED INTELLIGENCE
A bioinspired internal model-based online estimator for planar pursuit
Bioinspired feedback controls for pursuit, tracking, and collective motion are often expressed in terms of the relative configuration between interacting agents. In practice, however, onboard sensors may not directly provide all quantities required for feedback control, necessitating estimation of unobserved quantities. This paper develops a bioinspired internal model-based estimator for reconstructing those quantities from partial sensory observations and known self-motion. State reconstruction is posed as an optimization problem that treats the relative kinematics as constraints and minimize
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T22:53:26.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.