Eddie Guo

University of Alberta, University of Calgary

Papers

Total Citations

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About

Eddie Guo is pioneering the intersection of artificial intelligence and assistive robotics, with a primary focus on developing intelligent control systems for lower-limb exoskeletons. His research addresses critical challenges in human-robot interaction, particularly in making exoskeleton technology more intuitive and personalized for users. Guo’s most notable contribution is the introduction of intelligent Central Pattern Generators (iCPGs) for personalized locomotion planning, a breakthrough that overcomes the rigid, one-size-fits-all walking patterns of commercial exoskeletons. His 2023 paper on this topic has already garnered 9 citations, signaling its growing influence in the field. Expanding the boundaries of human-machine communication, Guo also developed a speech-based motion planning strategy (SBMP) for lower limb exoskeletons, enabling users to command their devices through natural voice interactions. This work integrates speech processing with finite state machines and CPGs to ensure safe, compliant movement. With his innovative fusion of deep reinforcement learning and biomechanical design, Eddie Guo is shaping a future where assistive devices adapt seamlessly to individual users, promising greater mobility and independence for individuals with lower-limb impairments.