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About

Behzad Bayat is a leading researcher in bio-inspired robotics and autonomous environmental monitoring, with a particular focus on aquatic systems. His work bridges the gap between biological principles and engineering design, creating innovative robotic platforms that mimic natural swimmers. Bayat’s most impactful contribution is his 2017 survey on environmental monitoring using autonomous vehicles, which has garnered over 200 citations and serves as a foundational reference for researchers in the field. He has also been instrumental in developing the Envirobot, a bio-inspired autonomous platform for aquatic pollutant tracking, and the MAR robot, an efficient anguilliform (eel-like) swimming robot that explores high-thrust, low-energy propulsion. Bayat’s research extends to neuro-inspired control systems, as seen in his work on a visually guided robotic lamprey that integrates frame and event-based cameras for efficient onboard processing. Additionally, he has contributed to the IEEE Ontologies for Robotics and Automation Working Group, helping to define standards for autonomous robotics. With a strong emphasis on observability and localization in underwater robotics, Bayat’s work continues to shape the future of autonomous environmental sensing and biomimetic design.