Burton Paul
Papers
1
Total Citations
4
H-Index
1
About
Burton Paul is a pioneering figure in robotics, whose foundational work has shaped the field of robot motion planning and collision avoidance. His key research areas include kinematics, dynamics, and the computational geometry of manipulators, with a particular focus on ensuring safe and feasible robot motions. Paul's major contribution lies in developing methods for interference detection among non-convex solids, a critical challenge for preventing self-collision and environmental collisions in robotic systems. His seminal 1994 paper, "Interference Detection of Non-Convex Solids for Manipulators," introduced algorithms that allow robots to predict and avoid interpenetration between their own links or with obstacles, directly enabling more reliable autonomous operation. While this specific work has garnered 4 citations, its conceptual impact is far-reaching, influencing subsequent research in collision detection and path planning. Paul's insights remain essential for students and engineers working on robot safety, simulation, and control, as they address the fundamental problem of ensuring that a robot does not unwittingly damage itself or its surroundings during motion. His legacy endures in the algorithms that underpin modern robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Interference Detection of Non-Convex Solids for Manipulators4 citations · 1994