Designing, modeling, and analyzing robotic systems that interact with and adapt to the physical world. This theme encompasses autonomous mobile robots, manipulation, and human-robot collaboration. Emphasis is placed on real-time operation, sensorimotor integration, and the philosophical implications of embodied agency.
The Machine Learning Control Project explores how modern data-driven techniques can augment or replace traditional control design methodologies. While classical control theory depends heavily on first-principles modeling, many real-world systems …
View projectThe Dialectical Information Architecture Project develops a novel framework for organizing, navigating, and evolving complex information systems. Built on a synthesis of traditional information architectures—hierarchical, organic, and sequential—the project introduces …
View projectFunded by the Washington State Department of Natural Resources, this undergraduate research project included a team of SMU senior students. The goal was to improve strobili (cone) harvesting techniques by …
View projectThis undergraduate research project was funded by Puget Sound Energy via the Independent Colleges of Washington to develop a smart thermostat device based on principles of lumped-parameter modeling and estimation.
View projectThis project reviewed knee joint musculature and developed a bio-inspired knee exoskeleton aimed at assisting individuals with quadriceps weakness or pain from conditions such as Patellofemoral Pain Syndrome (PFPS) and …
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