Key Responsibilities

• Research, ideate, and implement novel and robust model- and learning-based robot behaviors and interaction control algorithms, enabling contact-rich manipulation in various real-world application domains including dexterous object manipulation.
• Research, ideate, and implement robot cognition and reasoning algorithms for adaptive intelligence to enable generalizability to new scenarios as well recovery from failures.
• Validate the results through comprehensive data analysis and successful demonstrations on hardware.
• Deliver results in accordance with the project timelines. 
• Assist with compiling written and oral reports for executives within the company and performing demos. 
• Contribute to the portfolio of patents, academic publications, and prototypes to demonstrate research value.
• Collaborate with our teams of scientists and engineers in Honda’s regional and global R&D offices, as well as with our partners in academia and industry.
• Assist with supervising interns.

Minimum Qualifications

• Ph.D. in mechanical engineering, robotics, electrical engineering, computer science, or a related field.
• Expert knowledge on fundamentals of robotics. e.g. robot kinematics and dynamics, control systems, force control, haptics.
• Expert Knowledge on learning-based methods such as reinforcement learning, generative models and inference models.
• Extensive hands-on experience on development and successful implementation of planning, control and recovery algorithms for contact-rich manipulation in real-world. 
• Strong track record of publishing in top robotics venues (e.g T-RO, RA-L, T-M, ICRA, IROS, RSS, CoRL, …)
• Solid programming skills in C++ or Python and strong familiarity with ROS.
• Self-motivated to advance the project and deliver on-time.
• Strong written and oral communication skills including development and delivery of presentations, papers, and technical documents.