Daniel Hasemann
Papers
1
Total Citations
8
H-Index
1
About
Daniel Hasemann is a researcher specializing in robotics, autonomous navigation, and sensor integration for challenging environments. His work focuses on developing optimized, low Size, Weight, Power, and Cost (SWaP-C) payloads for unmanned ground vehicles (UGVs), particularly for mapping interiors and subterranean spaces. A key contribution is his 2020 paper on a SWaP-C payload designed for dense urban areas (DUA) and subsurface operations, addressing the critical need for threat identification in complex structures where traditional LIDAR systems fall short. This work, which has garnered 8 citations, highlights his impact on advancing practical, deployable sensing solutions for military and search-and-rescue applications. Hasemann’s research bridges the gap between high-performance mapping and real-world constraints, making autonomous systems more versatile in GPS-denied or confined environments. His achievements reflect a commitment to enhancing UGV capabilities for critical missions, from urban warfare to disaster response, positioning him as a notable contributor to field robotics and sensor payload design.
Research Focus
Key Achievements
Top Papers
- 1