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Field
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically accurate synthetic video data to expand training data and enable controlled
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accurate synthetic video data to expand training data and enable controlled sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single
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-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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important to oversee the general robotic testbed development, including the control and sensing architecture for seamless integration of systems from the bottom-up. The operator would require the crucial
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Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing
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, collaborative project to aid scientists to specify laboratory procedures for remote execution by robot-controlled, programmable cloud laboratories. We are seeking a post-doctoral research scientist with broad