Yashrajsinh Parmar
Papers
2
Total Citations
17
H-Index
2
About
Yashrajsinh Parmar is a researcher specializing in hardware-efficient digital signal processing architectures for robotics and embedded systems. His work centers on developing novel, low-overhead implementations of the Coordinate Rotation Digital Computer (CORDIC) algorithm, particularly for applications requiring approximate but fast vector rotations. Parmar's major contribution is the introduction of a sign-precomputation-based radix-4 CORDIC architecture, which significantly reduces computational overhead for approximate rotations. This work, published in 2018 and garnering 13 citations, has direct applications in the Hough transform for computer vision and digital signal processing. Building on this foundation, Parmar extended his approach to address a critical challenge in mobile robotics: real-time velocity estimation of dynamic obstacles for collision avoidance. His 2018 paper on this topic (4 citations) proposes a hardware-efficient method specifically designed for FPGA-driven mobile robots, demonstrating a practical, implementable solution for autonomous navigation. By bridging the gap between algorithmic efficiency and real-world hardware constraints, Parmar's research offers valuable contributions to the fields of robotics, embedded systems, and approximate computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2