Papers
7
Total Citations
169
H-Index
5
About
Sudeep Sharan is a robotics and artificial intelligence researcher whose work spans intelligent automation, assistive robotics, and bio-inspired optimization algorithms. He is perhaps best recognized for his pioneering work on agricultural robotics, most notably his 2017 paper on weed detection in sugarcane fields using fuzzy real-time classifiers, which has accumulated over 126 citations and established him as an early contributor to precision agriculture through machine learning. His research has since expanded into the development of assistive robotic systems, including ROSWITHA (RObot System WITH Autonomy), a cost-efficient platform designed to support elderly and handicapped individuals with daily routine tasks. Sharan has also made notable contributions to robot navigation, exploring voice-controlled interfaces and semantic segmentation of RGB-D imagery for accurate indoor perception. A recurring theme in his recent work is path planning optimization, where he has developed and benchmarked modified Ant Colony Optimization algorithms enhanced with fuzzy logic systems for navigating complex environments. With a growing body of publications across agricultural automation, human-robot interaction, and computational intelligence, Sharan represents a versatile researcher bridging practical robotics with advanced algorithmic design.
Research Focus
Key Achievements
Top Papers
- 1Weed detecting robot in sugarcane fields using fuzzy real time classifier126 citations · 2017
- 2Implementation and Testing of Voice Control in a Mobile Robot for Navigation19 citations · 2019
- 3
- 4
- 5
- 6Accurate semantic segmentation of RGB-D images for indoor navigation4 citations · 2022
- 7