Donald Fellars
Papers
2
Total Citations
12
H-Index
2
About
Donald Fellars is a leading researcher in multi-agent robotic systems, with a focus on human-robot teaming and autonomous urban exploration. His most-cited work, "Human leader and robot follower team: correcting leader's position from follower's heading" (2010, 10 citations), addresses a critical challenge in cooperative robotics: leveraging a follower robot's superior position and heading estimates to correct a human leader's navigation errors. This contribution enhances the reliability of leader-follower dynamics in GPS-denied or sensor-limited environments, directly impacting military and search-and-rescue operations. Fellars also advanced autonomous behaviors for man-portable robots through the Urban Environment Exploration project at the Space and Naval Warfare Systems Center Pacific (SSC-PAC), as detailed in his 2012 paper (2 citations). His work matures sensor payloads and algorithms that enable small robots to navigate complex, cluttered urban terrains without human intervention. By bridging the gap between theoretical multi-agent coordination and practical field deployment, Fellars has laid groundwork for resilient, cooperative autonomy in high-stakes scenarios. His research continues to influence the design of robust human-robot teams and self-guided exploration systems.
Research Focus
Key Achievements
Top Papers
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- 2