Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Dr. M. Bharatheesha

Mukunda is a post-doctoral researcher at the Department of Cognitive Robotics, Delft University of Technology, in the Robot Dynamics Group. He received his Master’s Degree in Embedded Systems and PhD in Robotics from Delft University of Technology in 2011 and 2018 respectively.

His current research activities involve the study of effectively combining supervised learning and optimal control for dynamically constrained motion planning with sampling-based planners. He is also a member of the Education Board of the H2020 EU Project ROSIN: ROS-Industrial Quality-Assured Robot Software Components.

Mukunda was the Motion planning lead for Team Delft, that won the Amazon Robotics Challenge 2016. Apart from this, he worked on development and integration of multiple ROS-based applications for the EU FP7 project Factory-in-a-Day, that focused on developing modular and collaborative robotic solutions for Small and Medium Scale Industries.

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