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– and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy
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sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable
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manufacturing through closed-loop Directed Energy Deposition process control (GRADΞD). Functionally Graded Additive Metals (FGAM) present unseen design and manufacturing opportunities, enabling to fabricate
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, or inventory control, as well as non-manufacturing operational policies, objectives, and initiatives of a large and multifaceted area or department within the University. Supports the University of Utah’s goals