Sangeeth Venu
Papers
2
Total Citations
73
H-Index
2
About
Dr. Sangeeth Venu is a leading researcher at the intersection of robotics, autonomous navigation, and agricultural technology. Their work centers on developing intelligent perception and planning systems that enable robots to operate effectively in complex, unstructured environments. Dr. Venu’s highly cited 2023 review on agricultural robots, with 63 citations, provides a comprehensive analysis of perception systems—from sensor fusion to computer vision—that are critical for tasks like crop monitoring and harvesting. This work has become a foundational reference for researchers seeking to bridge the gap between robotics and precision agriculture. More recently, their 2025 review on path planning algorithms offers a structured taxonomy of classical, metaheuristic, and AI/ML-based approaches, including in-depth explorations of Dijkstra’s, A*, and potential field methods. By systematically comparing the strengths and limitations of each approach, Dr. Venu provides a practical roadmap for designing autonomous navigation systems. Their contributions are shaping the next generation of field robots and self-driving vehicles, making them a key voice in advancing both agricultural automation and intelligent mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2A comprehensive review of path planning algorithms for autonomous navigation10 citations · 2025