Lukas Gonon
Papers
1
Total Citations
43
H-Index
1
About
Lukas Gonon is a leading researcher in mobile robotics and sensor fusion, with a primary focus on ultra-wideband (UWB) localization for indoor environments. His most cited work, "Online model estimation of ultra-wideband TDOA measurements for mobile robot localization" (2012, 43 citations), tackles a critical challenge in robotic navigation: mitigating the detrimental effects of non-line-of-sight (NLOS) conditions on time-difference-of-arrival (TDOA) measurements. Gonon’s key contribution lies in developing robust online estimation techniques that dynamically model and compensate for NLOS biases, significantly improving the accuracy and reliability of UWB-based localization systems. This work has had a lasting impact on the field, enabling more resilient autonomous navigation in cluttered or obstructed indoor spaces—a fundamental requirement for applications ranging from warehouse logistics to search-and-rescue robotics. By advancing practical solutions for real-world sensor degradation, Gonon has helped bridge the gap between theoretical localization algorithms and deployable robotic systems. His research continues to influence the design of robust, low-cost positioning frameworks, making him a notable figure in the intersection of sensor fusion, estimation theory, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1