MERL is seeking a highly skilled and self-motivated intern to work on motion planning of articulated vehicles. The ideal candidate should have solid backgrounds in established path / motion planning algorithms (A*, D*, graph-search) and optimization-based control for ground and articulated vehicles.
Excellent coding skills in MATLAB / Simulink and publication records are necessary. Experience with CasADi and dSPACE is a plus.
students in robotics, computer science, control, electrical engineering, or related areas are encouraged to apply. Start date for this internship is flexible, and the expected duration is about 4-6 months.
Research Areas : Control, Dynamical Systems, Optimization, Robotics
Contact : Stefano Di Cairano
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