Max Robotics — Global Service Robot Directory + US Certification

About

Markus Przybylski is a leading researcher in robotic grasping and dexterous manipulation, whose work has fundamentally advanced how service robots interact with their environments. His primary research areas include grasp planning, tactile sensing, and bimanual manipulation for humanoid robots. Przybylski’s most significant contribution is the development of OpenGRASP, a widely adopted toolkit for robot grasping simulation that has garnered over 120 citations and established a standard platform for comparative research in the field. He pioneered novel object representations for grasp generation, notably using the medial axis transform and unions of balls to simplify complex 3D shapes into computationally tractable forms for stable grasp planning. His work on learning continuous grasp stability from tactile sensing addresses the critical challenge of uncertainty in real-world robotic applications. Przybylski also contributed to bimanual grasp planning, enabling humanoid robots to handle large objects with both hands, and developed benchmarking suites that allow reproducible evaluation of grasping algorithms across laboratories. His research, spanning from kinematic calibration for robotic vision to task-based grasp adaptation, has accumulated over 400 citations and continues to influence the design of autonomous service robots capable of manipulating everyday objects.