M.C Chinnaiah

Papers

1

Total Citations

4

H-Index

1

About

Dr. M.C. Chinnaiah is a researcher specializing in embedded systems, FPGA-based implementations, and assistive robotics. His work focuses on developing hardware-accelerated algorithms for real-time computer vision applications, particularly aimed at aiding elderly and physically disabled individuals. His most cited paper, "A Inventive Method for Door Detection on FPGA Using Sobel Edge Algorithm" (2022), proposes a novel approach for enabling robots to autonomously detect doors using the Sobel edge detection technique on Field Programmable Gate Arrays. This contribution addresses a critical need in assistive technology—improving navigation and independence for senior citizens and people with disabilities. With 4 citations, this work demonstrates early impact in the niche area of FPGA-based vision systems for robotics. Dr. Chinnaiah’s research bridges the gap between hardware design and practical assistive devices, offering efficient, real-time solutions that can be deployed in smart home environments. His ongoing work continues to explore how edge computing and reconfigurable hardware can enhance robotic perception, making him a notable contributor to the fields of embedded vision and human-centered robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Inventive Method for Door Detection on FPGA Using Sobel Edge Algorithm
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago