Christine Wun Ki Suen
Papers
1
Total Citations
17
H-Index
1
About
Christine Wun Ki Suen is a rising researcher at the intersection of robotics, artificial intelligence, and building systems engineering. Her work focuses on developing intelligent, autonomous systems for infrastructure inspection and maintenance, with a particular emphasis on heating, ventilation, and air conditioning (HVAC) systems. Suen’s most notable contribution to date is her pioneering approach to robot morphology evolution, where she combines graph heuristic search with reinforcement learning to enable robots to dynamically adapt their physical form for navigating complex, constrained environments. Her 2023 paper on this topic, which has already garnered 17 citations, demonstrates a novel framework that allows robots to autonomously reconfigure their shape to access and inspect hard-to-reach ductwork and mechanical spaces—a critical advancement for improving building energy efficiency and reducing manual inspection risks. This work represents a significant step toward truly adaptive robotic systems that can optimize their own structure for specific tasks. Suen’s research holds promise for transforming how we maintain urban infrastructure, blending cutting-edge AI with practical engineering challenges to create safer, more efficient built environments.
Research Focus
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Top Papers
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