Noah Wilde
Papers
1
Total Citations
8
H-Index
1
About
Noah Wilde is a leading researcher in robotics and autonomous systems, with a primary focus on mapping and perception in challenging environments. His work centers on developing optimized, low Size, Weight, Power, and Cost (SWaP-C) payloads for unmanned ground vehicles (UGVs), specifically designed for mapping interiors and subterranean spaces. Wilde’s key contributions include addressing the critical need for situational awareness in Dense Urban Areas (DUA), where traditional sensing systems falter. His notable 2020 paper, "Optimized low SWaP-C payload for mapping interiors and subterranean on an Unmanned Ground Vehicle," has garnered 8 citations and highlights his innovative approach to integrating LIDAR systems into compact, cost-effective platforms. By tackling the limitations of commercially available LIDAR in subsurface and super-surface structures, Wilde’s work directly supports military and civilian applications in reconnaissance, search-and-rescue, and infrastructure inspection. His research bridges the gap between theoretical robotics and real-world deployment, making him a key figure in advancing autonomous navigation for confined and complex terrains.
Research Focus
Key Achievements
Top Papers
- 1