Michael Angelo Carvajal

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About

Michael Angelo Carvajal is a robotics researcher whose work bridges motion capture technology and practical applications for worker safety. His primary research areas include mobile motion capture systems, fiducial marker-based localization, and constrained-space robotics. Carvajal's most significant contribution is the development of "Mobile MoCap," a novel approach that achieves highly accurate pose estimation by tracking retroreflectors on-the-go, eliminating the need for static camera setups required by commercial motion capture systems. This work, which has garnered 5 citations since 2023, represents a key advancement in relative localization for robotics applications. Carvajal also leads the development of PARIS (Precision Application Robot for Inaccessible Spaces), a use-inspired mobile robot prototype designed to improve safety for building retrofit workers operating in hazardous confined environments like attics and crawlspaces. This project addresses the critical challenges of limited visibility, constrained task space, and exposure to dangerous materials. Through his research, Carvajal demonstrates a commitment to creating practical robotic solutions that enhance both technical capabilities in motion tracking and real-world safety outcomes for human workers.