Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Srikant Sukumar is a leading researcher in the decentralized control of multi-agent robotic systems, with a primary focus on coverage control, formation control, and synchronization for nonholonomic mobile robots. His work addresses fundamental challenges in deploying teams of autonomous agents—such as sensors or vehicles—to optimally cover and monitor dynamic environments. Dr. Sukumar’s major contributions include developing adaptive and decentralized algorithms that enable robots with nonholonomic constraints (e.g., cars or drones) to achieve optimal sensing coverage without centralized coordination, as demonstrated in his highly cited 2018 paper (18 citations). He has also advanced formation control, ensuring that groups of nonholonomic vehicles can rendezvous and align orientations even over directed communication graphs, a critical capability for scouting and search missions. His 2016 work on decentralized adaptive coverage (11 citations) introduced novel approaches using double integrator dynamics, while his 2018 paper on a generalized framework using distance functions (3 citations) unified prior coverage control methods. Dr. Sukumar’s research, supported by grants like the IIT Bombay IRCC Seed Grant, continues to shape the field of distributed robotics, offering scalable solutions for environmental monitoring, surveillance, and cooperative exploration.