Micheal Grishaber

California State University, Bakersfield

Papers

Total Citations

H-Index

About

Michael Grishaber is a robotics researcher whose work focuses on intuitive human-robot interaction and gesture-based control systems. His key research area lies at the intersection of computer vision and mobile robotics, where he explores how natural body movements can replace traditional control interfaces. Grishaber’s most notable contribution is his 2016 paper, “Kinect-based control of a DaNI robot via body gesture,” which demonstrates a novel system that uses a Kinect sensor to track an operator’s skeleton and joints, enabling real-time robot navigation through body gestures. This work also integrates a Pan-Tilt camera for live video feedback, enhancing situational awareness. While his citation count (3) is modest, the paper represents an early and practical application of consumer-grade depth sensors for robotic control, paving the way for more accessible human-robot interfaces. Grishaber’s research is particularly relevant for students and engineers interested in low-cost, user-friendly robotic systems, and his work highlights the potential of gesture recognition in assistive and educational robotics.