Your application is being processed
Research Intern: Manipulation Intelligence
Job Number: P25INT-19
Honda Research Institute USA (HRI-US) is seeking a self-motivated intern to advance the manipulation intelligence of multi-fingered robot hands. Our research focuses on highly dexterous, long-horizon manipulation tasks that challenge current methods through precise contact interactions and partial observability. We push the boundaries of robot learning by leveraging diverse training data to tackle problems across perception, cognition, and action generation. The successful candidate will utilize both simulation and real hardware to implement, evaluate, and iteratively improve the learning algorithms.
San Jose, CA
|
Key Responsibilities
|
|
- Develop learning algorithms for object manipulation using multi-fingered robot hands.
- Collect and process data, and conduct policy training.
- Implement baselines and perform benchmark evaluations (hardware and simulation).
- Document findings and contribute to internal research reports
- Contribute to the portfolio of patents, and publish research results when applicable at top-tier conferences and journals in robotics and machine learning.
Minimum Qualifications
|
|
- Ph.D. or highly qualified M.S. candidate in robotics, computer science, or a related field.
- Proficient with robot learning for manipulation (behavior cloning and reinforcement learning).
- Proficient with processing and learning from real-world robot and human data.
- Experience with policy deployment on real-world robots.
- Experience with robotic simulators (e.g., Isaac Gym or MuJoCo).
- Proficient with Python and C++.
- Proficient with PyTorch.
- Experience with Robot Operating System (ROS).
Bonus Qualifications
- Experience with large vision-language-action models or visual foundation models.
- Experience with LLM agentic workflows and prompt engineering.
- Experience with representation learning using RGB, RGB-D, and tactile data as inputs.
- Experience with deep learning techniques for time series analysis.
- Experience with in-hand dexterous manipulation on multi-fingered robot hands.
- Knowledge in contact dynamics and contact mode switching.
- Experience in online reinforcement learning with hardware robots.
- Experience with Sim2Real approaches.
|
| Years of Work Experience Required |
0 |
| Desired Start Date |
5/11/2026 |
| Internship Duration |
3 Months |
| Position Keywords |
Dexterous Manipulation, Embodied AI, Robot Foundation Models |
|
|
|
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.
