Papers
3
Total Citations
11
H-Index
2
About
M. Sugadev is a robotics researcher specializing in autonomous navigation, computer vision, and agricultural automation. His work focuses on developing low-cost, vision-guided robotic systems for real-world applications, from indoor service robots to outdoor agricultural vehicles. A key contribution is the "Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API" (2019, 5 citations), which integrates cloud-based computer vision for off-road navigation, demonstrating how accessible APIs can enhance autonomous vehicle capabilities in challenging environments. He also designed an "Arduino Board-Based Wireless Controlled Seed Sowing Robot" (2021, 4 citations), advancing precision agriculture through affordable, embedded control systems. Earlier, his "Monocular vision based autonomous indoor mobile service robot" (2015, 2 citations) pioneered a low-cost approach using a single webcam and SONAR for object tracking and distance estimation, paired with a 3-DOF robotic arm for manipulation. Sugadev’s work is notable for its practical, cost-effective solutions that bridge computer vision and robotics, making autonomous technology more accessible for both industrial and agricultural sectors.
Research Focus
Key Achievements
Top Papers
- 1Rough Terrain Autonomous Vehicle Control Using Google Cloud Vision API5 citations · 2019
- 2Arduino Board-Based Wireless Controlled Seed Sowing Robot4 citations · 2021
- 3Monocular vision based autonomous indoor mobile service robot2 citations · 2015