Expert in Robotics and Motion Planning
Associated with :
Delft University of TechnologyMukunda Bharatheesha serves as a post-doctoral researcher in the Robot Dynamics Group at TU Delft's Department of Cognitive Robotics. His academic journey at TU Delft includes a master's degree in Embedded Systems (2011) and a Ph.D. in Robotics (2018). His research focuses on combining supervised learning and optimal control for dynamically constrained motion planning. His significant achievements include leading the motion planning for Team Delft's victory in the Amazon Robotics Challenge 2016 and contributing to the EU FP7 project Factory-in-a-Day. As a member of the Education Board for the H2020 EU Project ROSIN, he works on quality-assured robot software components. His research contributions span kinodynamic planning, automated tuning of path planning algorithms, and dynamic obstacle avoidance for collaborative robots, with his work on Team Delft's Amazon Picking Challenge victory being particularly influential