Gennaro Notomista

Gennaro Notomista is an Assistant Professor at the University of Waterloo, part of the Full-time faculty. His research focuses on robotics, control systems, and multi-agent coordination. Key areas include swarm intelligence, optimization of robotic tasks, and safety-critical control algorithms. He is affiliated with the Robotarium, a remotely accessible multi-robot testbed, and explores applications in autonomous vehicles, environmental monitoring, and creative robotics projects like music-driven swarm painting.

His work emphasizes energy-efficient task allocation, decentralized control strategies, and safe navigation frameworks. Notable contributions include advancements in control barrier functions for ensuring safe operation and resilient task execution in dynamic environments. Recent publications address challenges in persistent environmental monitoring, long-duration autonomy, and the design of wire-traversing robots.

Notomista’s research also bridges robotics with real-world applications, such as using robot swarms to model epidemiological dynamics and enhance teleoperation systems. His interdisciplinary approach combines optimization theory, machine learning, and mechanical design to tackle complex robotic systems challenges.