Pavel Trutman

Czech Technical University in Prague, China University of Labor Relations

Papers

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About

Pavel Trutman is a leading researcher in robotics and optimization, best known for his groundbreaking work on the inverse kinematics (IK) of serial manipulators. His primary research areas include globally optimal motion planning, robot control, and numerical optimization. Trutman’s major contribution is the development of a globally optimal solution to the inverse kinematics problem for 7-degree-of-freedom (DOF) serial manipulators with revolute joints. His most-cited paper (2022, 26 citations) presents a method that not only satisfies kinematic and joint limit constraints but also optimizes a quadratic polynomial objective function, a significant advancement over traditional local solutions. This work has profound implications for industrial robotics, enabling more precise and efficient control of complex manipulators. Trutman’s research is highly impactful, with his 2022 paper already garnering attention for its practical applications in automation and robotic surgery. His earlier work (2020) laid the foundation for this approach, demonstrating his sustained commitment to solving fundamental challenges in robotics. Trutman’s achievements exemplify how rigorous optimization theory can be applied to real-world robotic systems, making him a key figure in the field.