Vision-Based Fault-Tolerant Collective Motion
Published:Dec 27, 2025 03:29
•1 min read
•ArXiv
Analysis
This paper addresses the fragility of artificial swarms, especially those using vision, by drawing inspiration from locust behavior. It proposes novel mechanisms for distance estimation and fault detection, demonstrating improved resilience in simulations. The work is significant because it tackles a key challenge in robotics – creating robust collective behavior in the face of imperfect perception and individual failures.
Key Takeaways
Reference
“The paper introduces "intermittent locomotion as a mechanism that allows robots to reliably detect peers that fail to keep up, and disrupt the motion of the swarm."”