Umang Shah
Papers
1
Total Citations
7
H-Index
1
About
Umang Shah is a researcher whose work sits at the intersection of autonomous systems, sensor perception, and remote guidance technology. His most cited contribution, the 2018 paper "ALERT," addresses the growing reliance on LiDAR sensors in critical applications such as vehicle automation and robot navigation. With seven citations, this work explores how 3D LiDAR data can be harnessed for remote guidance—enhancing both safety and task performance in dynamic environments. Shah’s research focuses on making autonomous systems more reliable by improving how they interpret spatial data in real time. His contributions are particularly relevant to the development of safer self-driving vehicles and more capable robotic platforms. By tackling the challenges of sensor-based perception and remote operation, Umang Shah is helping to lay the groundwork for the next generation of intelligent, environment-aware machines.
Research Focus
Key Achievements
Top Papers
- 1ALERT7 citations · 2018