Brian Schwarz

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Brian Schwarz is a researcher in robotics and control systems, with a primary focus on the dynamic modeling and motion control of robotic manipulators. His most influential work centers on developing advanced control strategies for three-link rotary (RRR) robotic arms, integrating real-time motion capture technologies to enhance human-robot interaction. In his highly cited 2017 paper, Schwarz introduced a novel approach that combines Microsoft’s Kinect motion capture system with a robotic manipulator, enabling the robot to track and replicate human arm movements with improved accuracy. This work has garnered 13 citations, reflecting its impact on the fields of teleoperation and assistive robotics. A subsequent paper on the same topic, also published in 2017, has received 10 citations, further solidifying his contributions to dynamic modeling and motion control. Schwarz’s research bridges the gap between human motion sensing and robotic actuation, offering practical solutions for applications in manufacturing, rehabilitation, and service robotics. His work is particularly notable for its emphasis on real-time, non-invasive control interfaces, making robotic systems more accessible and intuitive for non-expert users.