Thomas Statheros

Papers

Total Citations

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About

Thomas Statheros is a researcher whose work centers on autonomous multi-robot systems, with a particular focus on decentralized navigation and collision avoidance. His most-cited paper, "Trajectory equilibrium state detection and avoidance algorithm for multi-autonomous potential field mobile robots" (2007), introduces a highly efficient algorithm for local navigation in multi-robot environments. This approach combines a novel rule-based mathematical algorithm with virtual potential fields, enabling each robot to navigate independently while avoiding trajectory equilibrium states that could lead to deadlock or collisions. Though his citation count is modest, with this paper garnering 4 citations, the work represents a meaningful contribution to the field of autonomous robotics by addressing a fundamental challenge in multi-agent coordination. Statheros’s algorithm is notable for its computational efficiency and scalability, making it particularly relevant for applications in swarm robotics and automated logistics. His research continues to influence the development of robust, decentralized control strategies for autonomous systems operating in dynamic environments.