Kyle Jannak-Huang
Papers
1
Total Citations
8
H-Index
1
About
Kyle Jannak-Huang is a researcher specializing in robotics, sensor integration, and autonomous systems, with a particular focus on low Size, Weight, Power, and Cost (SWaP-C) payloads for challenging environments. His work addresses critical gaps in mapping interiors and subterranean spaces, especially in dense urban areas where threat identification is compromised. His most cited paper, "Optimized low Size, Weight, Power and Cost (SWaP-C) payload for mapping interiors and subterranean on an Unmanned Ground Vehicle" (2020, 8 citations), demonstrates his contribution to developing cost-effective LIDAR systems for unmanned ground vehicles, directly responding to defense and reconnaissance needs outlined in the Force 2025 Maneuvers Annual Report. By optimizing sensor payloads for constrained environments, Jannak-Huang enables more efficient and accessible autonomous exploration of complex structures. His work bridges the gap between commercial LIDAR limitations and the rigorous demands of military and disaster-response applications, making him a notable figure in advancing practical robotics for real-world subterranean and urban operations.
Research Focus
Key Achievements
Top Papers
- 1