Robust In-Hand Manipulation - Honda Research Institute USA

Robust In-Hand Manipulation

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Robust In-Hand Manipulation

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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