4 accepted papers
This letter presents a novel density-based control framework for shape formation in swarm robotic systems, operating exclusively on local perception without requiring communication or identity recognition among robots and targets. Inspired by Smoothed Particle Hydrodynamics (SPH), each robot estimat
Collective evasion is critical in swarm robotics, enabling groups of simple robots to effectively elude external threats. Previous work on anti-predator behaviors relied on rigid evasion patterns coupled with velocity alignment, which lack adaptability when confronted with sustained and varied preda
Milling is a collective behavior that is useful in a variety of real scenarios, but how to regulate milling behavior simply and efficiently is still a challenging problem. This letter introduces a novel method for controlling milling behavior in real-world robots, where both the direction and radius
The Alternating Direction Method of Multipliers (ADMM) has gained significant attention across a broad spectrum of machine learning applications. Incorporating the over-relaxation technique shows potential for enhancing the convergence rate of ADMM. However, determining optimal algorithmic parameter…