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Krishna Raghuwaiya is a prominent researcher specializing in autonomous robotics, multi-agent systems, and motion control, with particular expertise in nonholonomic mobile robots navigating complex environments. His work sits at the intersection of cooperative intelligent transport systems, formation control, and collision avoidance, making significant contributions to how autonomous vehicles and robotic swarms coordinate in real-world scenarios. Raghuwaiya's most influential contribution, "Leader-Follower Based Locally Rigid Formation Control" (2018, 42 citations), established robust frameworks for maintaining precise formations among nonholonomic robots in dynamic environments using acceleration-based control inputs. His research consistently employs Lyapunov-based Control Schemes and artificial potential field functions to develop mathematically rigorous, nonlinear continuous controllers — demonstrated across car-like robots, 1-trailer systems, and multi-agent swarms navigating three-dimensional obstacle-rich spaces. Notably, his 2020 work on rectangular plane avoidance (25 citations) pioneered the first known controllers for this specific geometric challenge in 3D space. His investigations into split-rejoin maneuvers, swarm intelligence, and formation splitting and merging further demonstrate his sustained focus on scalable cooperative robotics. With over 160 cumulative citations, Raghuwaishi's work provides foundational tools for researchers developing next-generation autonomous vehicle coordination and multi-robot systems.