CA0148: Internship - Motion Planning and Control for Autonomous Articulated Vehicles

Mitsubishi • Cambridge, MA

272d

About The Position

MERL is seeking an outstanding intern to collaborate in the development of motion planning and control for autonomous articulated vehicles. The ideal candidate is expected to be working towards a PhD in electrical, mechanical, aerospace engineering, robotics, control or related areas, with a strong emphasis on motion planning and control, possibly with applications to ground vehicles, to have experience in at least some of path/motion planning algorithms (A*, D*, graph-search) and optimization-based control (e.g., model predictive control), to have excellent coding skills in MATLAB/Simulink and a strong publication record. The expected start date is the Spring/Early Summer 2025 and the expected duration is 6-9 months, depending on candidate availability and interests.

Requirements

• Path/motion planning algorithms (A*, D*, graph-search)
• Nonlinear model predictive control
• Programming in Matlab/Simulink
• Applications to mobile robots or vehicles

Nice To Haves

• Nonlinear MPC Design in CasADi
• Code generation tools and dSPACE
• Applications to autonomous vehicles and articulated vehicles

What This Job Offers

• Career Level: Intern
• Industry: Transportation Equipment Manufacturing
• Education Level: Ph.D. or professional degree