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Research Intern: Physical Human-Robot Interaction
Job Number: P26INT-25
Honda Research Institute USA (HRI-US) is seeking a self-motivated Ph.D. student to join our Intelligence Robotics Research Division as a summer intern. The intern will develop and deploy algorithms that enable safe and comfortable physical human-robot interaction (pHRI), including, but not limited to, motion generation for robotic touch, representation learning for safe interaction, and personalized biomechanical modeling of humans.
San Jose, CA
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Key Responsibilities
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- Develop motion generation algorithms for safe physical robotic interaction with humans.
- Research and develop representations and personalized human models for pHRI, integrating policy learning, biomechanics, and safety.
- Deploy and evaluate the developed algorithms in simulation and on robotic hardware.
- Support experiments for data collection, model training, and algorithm validation.
- Document research methods and findings in internal reports and perform regular presentations.
- Contribute to the portfolio of patents and publish research results at top-tier conferences and journals in human-robot interaction.
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Minimum Qualifications
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- Ph.D. student in robotics, mechanical engineering, computer science, or a related field.
- Hands-on experience developing and implementing pHRI algorithms on robotic manipulators.
- Strong knowledge of probabilistic modeling, inference methods, and machine learning.
- Proficiency in Python or C++, along with experience using data analysis and visualization tools.
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Bonus Qualifications
- Experience with physics simulators (e.g., MuJoCo).
- Experience developing probabilistic models for physical human-robot interaction, such as models of human behavior, biomechanics, safety, or comfort.
- Experience collecting biomechanical data and developing models using MoCap, IMUs, physiological sensors, or similar tools.
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| Years of Work Experience Required |
2 |
| Desired Start Date |
May 2027 |
| Internship Duration |
3 Months |
| Position Keywords |
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physical human-robot interaction, robotic touch, motion generation,
safety, biomechanics, representation learning, personalized human modeling
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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.