David H. Scheid

Johns Hopkins University Applied Physics Laboratory

Papers

Total Citations

H-Index

About

David H. Scheid is a robotics researcher whose work focuses on advancing autonomous multi-robot systems, particularly in the domain of cooperative self-diagnosis and self-repair. His key research areas include multi-robot team coordination, fault detection, and autonomous system resilience. Scheid’s most notable contribution, "Toward Cooperative Team-diagnosis in Multi-robot Systems" (2008), addresses a critical challenge: enabling robot teams to diagnose and repair themselves without human intervention in environments where operator access is impractical. This work, with 22 citations, lays foundational groundwork for resilient, self-sustaining robotic teams—essential for applications like space exploration, deep-sea missions, and disaster response. By developing algorithms that allow robots to collaboratively assess and fix their own faults, Scheid helps push the boundaries of autonomous system reliability. His research is particularly valuable for students and engineers interested in creating robust, long-duration robotic missions where human oversight is limited. Scheid’s contributions underscore the growing importance of autonomous fault management in complex, real-world multi-robot deployments.