Luke StrgarPhD StudentAdviser: Sam Kriegman
Research Topics
Differentiable RoboticsEducation:
BA in Computer Science, University of California Berkeley, 2018
MSc in Computer Science, University of Texas Austin, 2023
Research:
My research is motivated by the basic observation of adaptivity and physicality in natural intelligence and a desire to imbue these characteristics in machines of the future. To that end I study bio-inspired models & methods of information processing, morphological design, and control in cyber-physical systems. This may involve but is not limited to topics in evolutionary computation, artificial neural networks, soft robotics, differentiable physical simulation, and artificial life.
My research is motivated by the basic observation of adaptivity and physicality in natural intelligence and a desire to imbue these characteristics in machines of the future. To that end I study bio-inspired models & methods of information processing, morphological design, and control in cyber-physical systems. This may involve but is not limited to topics in evolutionary computation, artificial neural networks, soft robotics, differentiable physical simulation, and artificial life.