Internship: Visuo-tactile Learning for Dexterous Manipulation

MERL is looking for a highly motivated individual to work on robotic manipulation using visuo-tactile learning. The research will develop robot motor skills for complex, dexterous manipulation using vision and tactile perception. The ideal candidate should have experience in either one or multiple of the following topics: manipulation, tactile sensing, Reinforcement Learning, sim-to-real techniques for manipulation, and grasping. Senior PhD students in robotics and engineering with a focus on contact-rich manipulation are encouraged to apply. Prior experience working with physical robotic systems (and vision and tactile sensors) is required as results need to be implemented on a physical hardware. Good coding skills in Python ML libraries like PyTorch etc. is required. A successful internship will result in submission of results to a peer-reviewed robotics journal in collaboration with MERL researchers. The expected duration of internship is 4-5 months with start date in Aug/Sept 2024. This internship is preferred to be onsite at MERL.

Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Robotics

Contact: Devesh Jha

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