Aayush Yadav
Papers
1
Total Citations
21
H-Index
1
About
Aayush Yadav’s research lies at the intersection of nonlinear dynamics and mobile robotics, with a particular focus on the challenging domain of spherical robot locomotion. His most-cited work, “Motion Planning for Point-to-Point Navigation of Spherical Robot Using Position Feedback” (2019, 21 citations), addresses a fundamental problem in this field: the significant modeling errors introduced by slip, surface irregularities, and the complex nonlinear dynamics of a spherical hull. Rather than relying solely on theoretical models, Yadav pioneered a controller design grounded in experimental observations, identifying a set of reliable primitive motions for navigation. This pragmatic, data-driven approach represents a major contribution to making spherical robots—inherently unstable and difficult to control—viable for real-world applications. By tackling the gap between idealized simulation and physical reality, his work has provided a practical framework for point-to-point navigation using only position feedback. This achievement is particularly notable for advancing the state of the art in underactuated systems, offering a pathway for more robust and autonomous spherical robots in exploration, surveillance, and inspection tasks.
Research Focus
Key Achievements
Top Papers
- 1