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About

T. Skewis is a pioneering researcher in mobile robotics, with primary contributions spanning sensor-based robot navigation, motion planning in unknown environments, and the practical deployment of service robots in real-world settings. His most influential work, "Incorporating Range Sensing in the Robot Navigation Function" (1990), has accumulated 272 citations and established a foundational framework for mobile robots navigating environments with unknown, arbitrarily shaped obstacles—a landmark contribution to autonomous navigation theory that remains widely referenced decades later. Beyond theoretical innovation, Skewis distinguished himself through translating research into practice. His extensive work on HelpMate, a hospital transport robot designed to autonomously deliver meals, medication, and medical records through dynamic hospital environments, demonstrated his commitment to socially impactful robotics. Multiple papers across different years document this system's evolution, reflecting a sustained research program bridging algorithmic rigor and real-world complexity. Skewis also advanced the integration of vision systems into navigation algorithms, developing paradigms that extended tactile-based motion planning to incorporate richer sensory input without compromising convergence guarantees. His simulation work further lowered barriers for researchers entering the field. Collectively, his body of work—totaling over 450 citations—reflects a career meaningfully shaped by both theoretical depth and engineering practicality in autonomous mobile robotics.