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Field
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development experience GTSAM or similar factor graph optimization frameworks Field robotics deployment in challenging environments Multi-sensor calibration and fusion Commitment to open-source development and
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Challenge: Control robotic dexterous hand during dynamic movements Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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are typically acquired through the completion of a Ph.D. or equivalent. Expertise in robotics, in at least one of robot control, motion planning, integrated sensor-based control, dealing with uncertainty in
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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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, 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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Qualifications: ● Experience in advanced controls systems, electromechanical design. ● Experience in integrating force/torque sensors in robotic devices ● Experience in robot kinematics and dynamics
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these. We conduct research within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics
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close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements