Key Responsibilities

• ​Research, ideate, and implement novel scene understanding and representation concepts for dextereous manipulation, assembly, and teleoperation.
• Develop algorithms to generate autonomous robotic behaviors to assist the operator with learned robotic policies or other methods..
• Develop software infrastructure and tools on test scenarios, baseline algorithms, module interfaces, etc. to facilitate the team's development efforts.
• Compile written and oral reports for executives within the company; file patents on developed technologies.
• Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.  
• Assist with supervising of research interns.
• Collaborate with our team of engineers and scientists in Honda's regional and global R&D offices,  as well as with our partners in academia and industry.

Minimum Qualifications

• ​PhD in Robotics, Electrical Engineering, Computer Science, or a related field.
• Expert knowledge in scene understanding and action estimation in manipulation and related areas.
• Strong track record of publications on development of novel computational models.
• Extensive experience in machine learning methods.
• Proficient in Python or C++ and visualization tools.
• Familiarity with robot hardware and experience using ROS (Robot Operating System).

Bonus Qualifications

• ​Experience in robotic teleoperation, telemanipulation, and collaborative robotic development.
• Experience with Deep Learning, Foundational Models, Transformers, Representation Learning, Graphical Neural Network.
• Experience with Robotic policy learning for dexterous manipulation tasks with multi-finger hand.