07.09.2023 - 08.09.2023
Certificate of Participation
Dr. Andreas Orthey
ROBOT MOTION PLANNING
07.09.2023 – 08.09.2023
This course deals with the motion planning of robots and the corresponding algorithms. Participants will gain an overview of how to move arbitrary robots from A to B. This includes topics on the exact problem formulation, the selection of efficient algorithms and the optimization of robot motions. Finally, participants get an introduction to the implementation and solution of a planning problem with the corresponding software libraries.
Learning goalsUpon completion of the course, participants will be able to formulate and solve problems in sample-based robot motion planning. They will be able to decide which algorithms to use for a given problem and understand their theoretical properties. They are able to apply basic algorithms themselves and use tools such as the OMPL software library.
- Basics of motion planning and formulation of problems
- Definition of sample-based planning algorithms with a view to differences and guarantees
- Introduction to the OMPL software library
- Application of planners to dynamic problems
- Application of planners to complex tasks in multi-robot applications
- Programming planning scenarios in Python
Target groupThe course is designed for professionals with a background in computer science, electrical engineering, mechanical engineering, or aerospace engineering, as well as software developers with an interest in robotics.
- Ability to program in C++ and Python
- Laptop with Python3 installed (free software)
- English level of at least B1 (according to the European Framework)
- Laptop/PC + headset with microphone
DatesSeptember 7 - 8, 2023 (virtual classroom sessions)
Dr. Andreas Orthey
Dr. Andreas Orthey is a robotics associate at Realtime Robotics and a visiting lecturer at the Technical University of Berlin, where he teaches motion planning. Andreas Orthey received his PhD in robotics and computer science from the National Polytechnic Institute of Toulouse in France. He worked as a researcher at the Max Planck Institute for Intelligent Systems (MPI-IS) and as a research fellow at the AIST Institute in Tsukuba, Japan. His research has been supported by both the Alexander von Humboldt Foundation (AvH) and the Japan Society for the Promotion of Science (JSPS). During his career, he has published more than 20 papers on robotics, planning, and optimization. Since 2021, he has been working on industrial applications of motion planning at Realtime Robotics.