Max Robotics — Global Service Robot Directory + US Certification

About

Vladimir Dukovski is a pioneering researcher in robotics, whose work bridges theoretical kinematics and practical manufacturing. His primary research areas include screw theory for inverse kinematics, robot manipulator stiffness, and the application of robotics in advanced composite material production. Dukovski’s major contribution is the development of an algorithmic, geometric solution to the generalized Paden–Kahan subproblem, a foundational challenge in robotics that enables precise motion planning using screw theory. This work, published in 2018, has garnered 16 citations and remains a key reference for researchers tackling complex kinematic problems. Earlier in his career, Dukovski conducted seminal experimental studies on the mechanical compliance and deflection of robot manipulators (1985, 1987, 1990), which collectively earned over 19 citations and provided critical insights into robot accuracy and stiffness—essential for high-precision automation. More recently, he has explored the use of robots in Laser-Assisted Fiber Placement (LAFP) for thermoplastic composites, addressing real-time defect detection and process control. With a career spanning from foundational stiffness analysis to cutting-edge composite manufacturing, Dukovski’s work demonstrates a rare combination of theoretical depth and hands-on experimentation, making him a respected figure in both robotics and materials engineering.