Shiva Paudel
Papers
1
Total Citations
2
H-Index
1
About
Shiva Paudel is a robotics researcher specializing in advanced control systems and sensor-less diagnostics for wheeled mobile robots and electric vehicles. His work focuses on developing innovative methods to detect wheel alignment errors—such as camber and toe-in/out—without relying on additional sensors or mechanisms, a significant challenge in autonomous navigation and vehicle safety. Paudel’s key contribution is the use of disturbance observers to estimate alignment faults indirectly, leveraging existing system dynamics to reduce hardware complexity and cost. His most-cited paper, "Sensor-Less Detection of Wheel Alignment Error for a Wheeled Mobile Robot using the Disturbance Observer" (2020), has garnered 2 citations, reflecting its niche but impactful role in advancing practical, low-cost diagnostic techniques. This work is particularly relevant for electric vehicles, where sensor redundancy is often limited. Paudel’s research bridges the gap between theoretical control theory and real-world automotive applications, offering a pathway to more reliable and efficient autonomous systems. His achievements highlight a commitment to solving critical problems in mobile robotics and vehicle dynamics, making him a promising voice in the field of intelligent transportation and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1