Jennifer Sleeman

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Jennifer Sleeman is a researcher whose work bridges robotics and artificial intelligence, with a primary focus on enhancing assistive technologies for individuals with disabilities. Her most-cited paper, "Real-time path planning for a robotic arm" (2011, 9 citations), addresses a critical challenge in human-robot interaction: improving the speed and efficiency of robotic arm movements to enable faster, more intuitive user control. By developing algorithms that optimize path planning for multi-degree-of-freedom arms, Sleeman’s contributions directly support real-time responsiveness in assistive robotics, making it easier for users with limited mobility to perform daily tasks. Though her citation count is modest, the practical impact of her work lies in its application to caregiving and disability support, where even incremental improvements in robotic performance can significantly enhance quality of life. Her research underscores a commitment to human-centered engineering, demonstrating how computational advances can translate into tangible benefits for vulnerable populations. Sleeman’s work serves as a foundational step toward more adaptive, user-friendly robotic systems in healthcare and rehabilitation.