Robotic In-hand Manipulation Job at Honda Research Institute USA
Job Number: P21INT-42
The focus of this research is to develop, implement, and validate algorithms for planning and controlling dexterous manipulation considering dynamic behaviors.
San Jose, CA
Key Responsibilities:
- Develop model-based and learning-based planning and control algorithms.
- Model dynamic behaviors for contact-rich 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, computer science, robotics, or a related field.
- Experience in reinforcement learning and other machine learning methods for robotics.
- Good knowledge of robot kinematics, dynamics, and control is required.
- Excellent programming skills in C++ or Python.
- Experience in ROS.
Bonus Qualifications:
- Experience in robotic manipulation and grasping.
- Experience with deep reinforcement learning and sim-to-real approaches.
- Experience with TensorFlow.
- Experience with implementation of real-time control algorithms on robotic systems
Duration: 4 months
How to apply
Candidates must have the legal right to work in the U.S.A. Please add Cover Letter and CV in the same document
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