Internship: Design and experiments of planning algorithms for robotic vehicles
DescriptionMERL's Mechatronics group is seeking a motivated and qualified individual to develop path planning and predictive control for autonomous vehicles. The position is open to PhD students, holders of MSc, and experienced Master students. The candidate is expected to design, implement and test the algorithms in a multi-vehicle testbench with car-like robots. The candidate should have solid background in ROS, C++, and numerical algorithms. Previous experience of experimental work with robot testbenches (UGV, UAV, UUV) is highly desired. Background on model predictive control, sampling-based planning methods, set-based methods, and particle filtering is a plus. The internship start date is flexible, from mid April 2018 onwards, and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.
Research Area: Mechatronics
Contact: Stefano Di Cairano
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