CA0274: Internship - Infrastructure inspection/repair using heterogenous robot teams
About The Position
MERL seeks a highly motivated graduate student intern to build a framework for autonomous infrastructure inspection and repair with heterogeneous robot teams (e.g., aerial and ground robots, mobile manipulators). The intern will collaborate closely with MERL researchers to develop mission-planning algorithms that coordinate robot teams under uncertainty for complex, long-horizon tasks. The internship is expected to produce results suitable for top-tier publications. The internship will run in Summer/Fall 2026 (flexible dates) for 3-4 months. Please use your cover letter to explain how you meet the following requirements, preferably with links to papers, code repositories, etc., indicating your proficiency.
Requirements
- Current enrollment in a PhD program in ME/EE/CS/AE, or related programs, with a focus on robotics and/or control systems and published 1-2 high quality conference/journal papers.
- Experience in some of these topics: multi-agent planning/mission design (e.g., temporal logic/operations research/reinforcement learning) and constrained control/optimization (MPC/mixed-integer programming).
- Hands-on experience with high-fidelity robotic simulation tools (e.g., Gazebo, PX4, Isaac Sim).
- Strong programming skills in Python and/or C/C++
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
