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systems, with applications to various robotic systems. Key Responsibilities: Conduct research in the area of control theory and machine learning Conduct experiments on different robotic platforms
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deploying robot learning systems on real robots Strong background in robot manipulation and visuomotor control Experience with behavior cloning, reinforcement learning, or related learning-based manipulation
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, or related areas (e.g., CoRL, RSS, ICRA, IROS, NeurIPS, CVPR) Demonstrated experience developing and deploying robot learning systems on real robots Deep expertise in robot manipulation and visuomotor control
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integration of robotic manipulation, perception, planning, control, and feedback systems for automated chemical experimentation. The position will work closely with chemists, chemical engineers, and other
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flight control systems. • Strong publication record in reputable international journals and conferences relevant to robotics, UAVs, autonomous systems, or artificial intelligence
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robotic technologies for understanding, enhancing, and restoring human movement. The role will focus on wearable robotics, human biomechanics, intelligent sensing and control, and assistive technologies
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and motion planning, whole-body control, multi-contact manipulation/locomotion, machine learning and optimization, avatar animation or related areas. You have experience working on real robots and great
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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demonstration; analysis and verification; technology development in the fields of: robot perception; control, autonomy and intelligence; motion and actuation; robot-user interfacing; robot ground testing. You are
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, but also command a vision for the future of the Robotics discipline. This vision should leverage and build on the strengths of our existing department and programs at the University of Michigan