Mitsubishi Electric Research Laboratories
Posted 67 days agoVerified live 17h ago
Internship - Perception and Coordination for Heterogeneous Robots
Brief overview
Cambridge, MAIn-person
MastersOr in progress
$6k–$8k/moStated range
4 H-1B approvalsDept. of Labor
Robotic hardwarePhysical experimentsMulti-agent planning and controlComputer visionOptimizationOperation researchROS2Starling dronesCrazyflie dronesTurtleBotTurtleBot4Unitree Go2PythonC++Image-based 3D reconstructionStructure from motionVisual SLAM
About the company
Mitsubishi Electric Research Laboratoriesmerl.com
Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.
Visa sponsorship history
2 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.4H-1B approved
100%approval rate
2new H-1B hires
$166,689median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20251
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
Top sponsored roles
Research Scientist
Job description
Summary
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated intern to work on algorithms for heterogeneous mobile robot autonomy. The role involves hands-on experience with robotic platforms and contributions to research in perception-driven autonomy and multi-robot coordination.
Responsibilities
- Collaborate on the development and experimental validation of algorithms for heterogeneous mobile robot autonomy
- Hands-on work with multiple robotic platforms, including aerial robots and ground robots
- Contribute to one or more research directions involving perception-driven autonomy, multi-robot planning, and heterogeneous robot coordination
Skills
- Current enrollment in a Masters/PhD program in Mechanical, Electrical Engineering, Computer Science, or related programs, with a focus on Robotics and/or Control Systems
- Strong hands-on experience with robotic hardware and physical experiments
- Experience in one or more of the following topics: multi-agent planning and control, perception, computer vision, optimization and operation research (vehicle routing and scheduling)
- Experience with one or more of ROS2-enabled mobile robots, preferably Starling drones, Crazyflie drones, TurtleBot / TurtleBot4 platforms, and/or Unitree Go2
- Strong programming skills in Python and/or C/C++
- Experience with image-based 3D reconstruction, structure from motion, visual SLAM, visual odometry, multi-view geometry, or photogrammetry
- Experience with multi-robot coordination, heterogeneous robot teams, task allocation, dynamic team formation, coverage, monitoring, or task completion
- Experience with motion planning, trajectory optimization, model predictive control, convex optimization, or mixed-integer optimization
Qualifications
Must Haves
- Current enrollment in a Masters/PhD program in Mechanical, Electrical Engineering, Computer Science, or related programs, with a focus on Robotics and/or Control Systems
- Strong hands-on experience with robotic hardware and physical experiments
- Experience in one or more of the following topics: multi-agent planning and control, perception, computer vision, optimization and operation research (vehicle routing and scheduling)
- Experience with one or more of ROS2-enabled mobile robots, preferably Starling drones, Crazyflie drones, TurtleBot / TurtleBot4 platforms, and/or Unitree Go2
- Strong programming skills in Python and/or C/C++
Nice to Haves
- Experience with image-based 3D reconstruction, structure from motion, visual SLAM, visual odometry, multi-view geometry, or photogrammetry
- Experience with multi-robot coordination, heterogeneous robot teams, task allocation, dynamic team formation, coverage, monitoring, or task completion
- Experience with motion planning, trajectory optimization, model predictive control, convex optimization, or mixed-integer optimization
Benefits
- A relocation stipend
- Covered travel to and from MERL
- A monthly Charlie Card for local commuting
- Interns are invited to participate in weekly social gatherings
- Professional development opportunities, including research talks by both internal and external speakers
- Interns who meet the 90-day waiting period are also eligible for health insurance coverage
- MERL provides immigration support for qualified candidates as needed
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