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About

Tolga Eren is a leading researcher in multi-robot systems, with a focus on formation control, network localization, and rigidity theory. His seminal 2012 work on "Formation shape control based on bearing rigidity" (151 citations) pioneered the use of bearing measurements—rather than traditional distance measurements—for controlling the shape of mobile robot formations, introducing bearing rigidity as a foundational concept for the field. This work, along with his 2007 paper on using angle-of-arrival information for localization in robot networks (54 citations), established key theoretical frameworks for how robots can coordinate using directional sensing. Eren has also advanced combinatorial rigidity approaches for wireless sensor and robot networks, providing necessary conditions for global rigidity and robustness in network localization. His more recent work addresses practical challenges in mobile robot navigation, including PRM path smoothening using circular arc fillet methods. Through his contributions to rigidity theory and bearing-based control, Eren has shaped how researchers and engineers design scalable, robust multi-agent systems capable of maintaining formation shape during movement.