Matthew Peavy
University of Nebraska–Lincoln, Universidad Pablo de Olavide
Papers
7
Total Citations
256
H-Index
4
About
Matthew Peavy is a leading researcher at the intersection of robotics, building information modeling (BIM), and construction automation. His work focuses on enabling robots to intelligently perceive, navigate, and operate within complex built environments. Peavy’s major contributions include the development of a BIM-integrated robot task planning and simulation system (164 citations), which bridges the gap between digital building models and physical robotic execution. He also pioneered a semantic building world modeling approach (51 citations) that allows robots to interpret and act upon rich architectural data, and advanced robust indoor localization through real-time semantic map updating with Adaptive Monte Carlo Localization (21 citations). Beyond construction, Peavy has explored social robotics, designing the embodied mediator Haru for cross-cultural communication among children (10 citations), and has developed human-aware safety frameworks for human-robot collaboration in congested construction sites (4 citations). His work has also been applied to power plant operations and autonomous building occupancy monitoring. With over 250 total citations, Peavy is shaping the future of intelligent, safe, and context-aware robotic systems for the built world.
Research Focus
Key Achievements
Top Papers
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- 4Design of Embodied Mediator Haru for Remote Cross Cultural Communication10 citations · 2024
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- 7Autonomous Building Occupancy Monitoring Using Mobile Robots2 citations · 2022