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Kamal Gupta is a pioneering robotics researcher whose work has profoundly shaped the fields of motion planning, inverse kinematics, and visual servoing. Best known for his foundational contributions to practical robot motion planning, Gupta co-edited the influential 1998 volume *Practical Motion Planning in Robotics: Current Approaches and Future Directions* (122 citations), which became an essential reference for bridging theoretical planning methods with real-world industrial applications. His 1999 paper introducing the kinematic roadmap—a global, sampling-based solution to inverse kinematics for highly redundant manipulators (94 citations)—demonstrated remarkable foresight into the trajectory that probabilistic planning methods would take in the following decade. Gupta's research consistently addresses complex, practical challenges: predicting moving obstacle trajectories using autoregressive models, planning dexterous fingertip manipulations for multifingered hands, and tackling path planning under general end-effector constraints. A particularly notable thread in his later career is the integration of randomized kinodynamic planning with visual servoing, producing smoother, dynamically aware camera trajectories (83 citations). Across more than a decade of sustained output, his cumulative citation record reflects both breadth and lasting influence, making him an essential figure for any student exploring autonomous robot manipulation and planning.