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Mitsubishi Electric Research Laboratories

Internship - Reinforcement/Imitation Learning for Robotic Assembly

Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, us, 02140

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MERL is looking for a highly motivated individual to work on learning algorithms for generalist robotic manipulation agent. In this internship we will be working on complex, assembly tasks. The research will develop novel learning-based algorithms for assembly tasks such as tight-tolerance insertion. The ideal candidate should have experience in either one or multiple of the following topics: Deep Reinforcement learning, Diffusion Models/Policies and Force Control for Manipulation. Senior PhD students in machine learning and engineering with a focus on Reinforcement/Imitation Learning and Manipulation are encouraged to apply. Prior experience working with physics engines like Mujoco, Isaac Gym, etc. is required. Prior experience working with physical robots as well vision and tactile sensors is required. The developed algorithm needs to be implemented on the real system. A successful internship will result in submission of results to peer-reviewed conference and journals. Good coding skills in Python and state-of-the-art RL environments (e.g., RL Bench) is required. The expected duration of internship is 3-4 months with expected start date in Sept 2025. This internship is preferred to be onsite at MERL.

Required Specific Experience

Experience working with physical robot and sensors like cameras, tactile and F/T is a must. Prior experience with learning algorithms is a must.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.