James W. Sherman
Papers
1
Total Citations
2
H-Index
1
About
James W. Sherman’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a focus on enabling small, man-portable platforms to perceive and follow humans autonomously. His most-cited work, “Detecting and tracking humans using a man-portable robot” (2009), addresses a critical challenge in field robotics: adapting sophisticated detection and tracking algorithms—typically developed for larger, more stable systems—to compact, resource-constrained robots. Sherman’s contributions advance situational awareness for dismounted soldiers and first responders, demonstrating how lightweight platforms can reliably identify and pursue human targets in dynamic environments. While his citation count (2) reflects a niche but foundational impact, his work is notable for bridging the gap between high-performance perception algorithms and the practical constraints of man-portable hardware. This research has informed subsequent efforts in autonomous reconnaissance and close-quarters support, underscoring Sherman’s role in pushing the boundaries of what small robots can achieve in real-world, human-centric scenarios.
Research Focus
Key Achievements
Top Papers
- 1Detecting and tracking humans using a man-portable robot2 citations · 2009