A nonlinear distributed event-triggered formation controller for multi-agent systems based on distance measurements with control barrier functions for collision avoidance is proposed and validated via simulations and real-robot experiments.
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Proposes a consensus protocol on planar straight-line graphs for origami reconfiguration, analyzes its stability, and estimates effective parameters from data via fitting.
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Distributed Event-Triggered Distance-Based Formation Control for Multi-Agent Systems
A nonlinear distributed event-triggered formation controller for multi-agent systems based on distance measurements with control barrier functions for collision avoidance is proposed and validated via simulations and real-robot experiments.
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Dynamic Modeling and Parameter Estimation for Origami Structure Reconfiguration Process
Proposes a consensus protocol on planar straight-line graphs for origami reconfiguration, analyzes its stability, and estimates effective parameters from data via fitting.