Crystal Boggio

Papers

Total Citations

H-Index

About

Crystal Boggio is a robotics researcher whose work centers on the intuitive control of anthropomorphic robotic systems, with a particular focus on bridging the gap between human motion and machine dexterity. Her most notable contribution, the 2019 paper "Commanding an Anthropomorphic Robotic Hand with Motion Capture Data," introduces a pioneering method for controlling a five-fingered robotic hand using data from a motion-capture marker glove. This work, which has garnered 2 citations, provides a detailed framework for translating human hand kinematics and dynamics into precise joint space control, enabling more natural and responsive manipulation. Boggio’s research addresses critical challenges in human-robot interaction, offering a foundation for advancements in prosthetics, teleoperation, and assistive robotics. By leveraging motion capture technology, she has demonstrated a practical pathway toward seamless, intuitive robotic command, making her work a valuable reference for students and researchers exploring the intersection of biomechanics and robotics. Her contributions underscore the potential for robots to replicate human-like dexterity, paving the way for more accessible and effective robotic applications in real-world settings.