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Research Intern: Disturbance-Resilient Motion Control for Marine Robotics
Job Number: P26INT-29
Honda Research Institute USA (HRI-US) is seeking a motivated and innovative research intern to develop and validate disturbance-resilient control algorithms for marine robots operating under wind, waves, and currents. The core focus is estimating environmental disturbances and compensating for them using model-based controllers, such as model predictive control (MPC). The algorithms will first be validated in simulation and then on a full-scale test vessel. You will also have the opportunity to explore learning-based control.
San Jose, CA
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Key Responsibilities
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- Develop disturbance estimation and compensation methods for wind, waves, and currents.
- Implement model-based controllers (e.g., MPC) for trajectory tracking, path following, and station-keeping under environmental disturbances.
- Identify and refine vessel dynamics models from field data.
- Build closed-loop simulations to evaluate robustness before deployment.
- Support deployment and testing of controllers on a full-scale test vessel.
- Explore reinforcement learning or other learning-based control as an extension.
- Document results and contribute to publications.
Minimum Qualifications
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- M.S. candidate in robotics, mechanical, electrical, or aerospace engineering, or a related field.
- Solid understanding of model-based control, including model predictive control (MPC).
- Experience implementing control algorithms in simulation or on hardware.
- Proficiency in Python or C++.
Bonus Qualifications
- Ph.D. candidate in a related field.
- Experience with motion control for surface vessels or other marine robots.
- Experience with disturbance estimation/rejection, robust control, or adaptive control.
- Experience with system identification or vessel dynamics modeling.
- Experience with ROS 2.
- Hands-on experience with maritime simulation environments.
- Demonstrated ability to take algorithms beyond simulation, such as field deployment on real hardware.
- Experience with reinforcement learning or other learning-based control methods.
- Publication record in robotics or control venues (e.g., ICRA, IROS, CDC, ACC).
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| Years of Work Experience Required |
0 |
| Desired Start Date |
May 2027 |
| Internship Duration |
3 Months |
| Position Keywords |
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Disturbance-Resilient Control; Model Predictive Control;
System Identification; Marine Robotics
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Alternate Way to Apply
Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for
- Recent CV
- A cover letter highlighting relevant background (Optional)
Please, do not contact our office to inquiry about your application status.
