Robotics Research Intern: Multimodal Perception & Manipulation

Honda Ri; San Jose (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

Honda Research Institute USA in San Jose, CA invites a Research Intern to advance multimodal perception and learning for dexterous manipulation using multi-fingered robot hands. The role emphasizes contact-rich manipulation under partial observability, with both simulation and real hardware for evaluating learning algorithms.

The intern will develop and test algorithms, process multimodal data, and contribute to publications and patents where applicable.

Qualifications

• PhD or MS candidate in robotics, CS, or related field.
• Experience processing and learning from multimodal sensory data (tactile, force, RGB-D).
• Experience implementing and evaluating learned policies on real robots.
• Experience with robotic simulators (e.g., Isaac Gym or MuJoCo).
• Proficient with Python, C++, and PyTorch.
• Experience with ROS 2.

Responsibilities

• Develop and evaluate learning algorithms for multimodal perception and dexterous manipulation.
• Collect and process multimodal sensory data and conduct representation and policy training.
• Integrate and validate learned models on robotic manipulation platforms.
• Implement baselines and perform benchmark evaluations on hardware and in simulation.
• Document findings and contribute to internal research reports.
• Contribute to patents and publish results at top-tier conferences and journals.

Skills

Multimodal perception

Dexterous manipulation

Python

C++

PyTorch

ROS 2

Data processing

Education

PhD candidate in robotics

MS candidate in robotics

Tools

Isaac Gym

MuJoCo

ROS 2

Job description

Honda Research Institute USA in San Jose, CA invites a Research Intern to advance multimodal perception and learning for dexterous manipulation using multi-fingered robot hands. The role emphasizes contact-rich manipulation under partial observability, with both simulation and real hardware for evaluating learning algorithms.

The intern will develop and test algorithms, process multimodal data, and contribute to publications and patents where applicable.