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About

A. Vivek is a robotics researcher whose work centers on the intelligent navigation, path planning, and control of mobile robots in dynamic environments. His major contributions lie in developing advanced trajectory planning techniques for target tracking and obstacle avoidance, particularly for car-like and differential drive robots. Vivek is best known for pioneering the use of Smoothed Rapidly exploring Random Tree (RRT) and Smoothed Bidirectional RRT techniques, which enable robots to efficiently track moving targets while navigating around static and dynamic obstacles. His most cited paper, "Dynamic target tracking using a four wheeled mobile robot with optimal path planning technique" (17 citations), demonstrates a car-like robot that smoothly follows a moving target using these methods. Complementing this, his work on "Target tracking, path planning and obstacle avoidance by intelligent robot" (16 citations) and "Smoothed RRT techniques for trajectory planning" (16 citations) further solidifies his impact in the field. Vivek has also explored cooperative multi-robot systems, as seen in his work on two wheeled robots collaboratively carrying objects, and has contributed to the dynamic modeling and control of omni-directional platforms. With a focused portfolio of highly cited papers from 2017, Vivek’s research offers practical solutions for autonomous navigation in complex, real-world environments.