What are the responsibilities and job description for the Robust In-Hand Manipulation position at Honda Research Institute USA?
Job Number: P24INT-27
Dexterous manipulation capabilities are essential for robots to function effectively in human-centric environments. This research aims to develop, implement, and validate algorithms for robust dexterous manipulation, considering dynamic behaviors and real-world uncertainties and errors.
San Jose, CA
Key Responsibilities
- Contribute to cognitive capabilities of robots by developing reasoning algorithms for error and failure analysis
- Develop algorithms for robust and adaptive planning and control under uncertainties, disturbances, and errors
- Develop algorithms for reducing Sim2Real gap for dexterous manipulation
- Implement and validate the developed algorithms in simulation and on hardware
- Publish research results at top-tier conferences and journals in robotics as well as machine learning.
Minimum Qualifications
- Ph.D. or highly qualified M.S. candidate in mechanical engineering, robotics, computer science, or a related field.
- Strong track record of developing contact-rich manipulation algorithms with successful real-world deployment.
- Solid knowledge of robot kinematics, dynamics, control, and robot learning methods.
- Very good programming skills in C or Python.
- Experienced in ROS.
Bonus Qualifications
- Experience in real-world robotic manipulation using multi-fingered hands.
- Experience in cognitive robotics.
Years of Work Experience Required
0
Desired Start Date
5/19/2025
Internship Duration
3 Months
Position Keywords
Dexterous Manipulation, Robotics, ROS
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