Sidharth Jeyabal

Singapore University of Technology and Design

Papers

Total Citations

H-Index

About

Sidharth Jeyabal is a robotics researcher advancing autonomous systems for precision agriculture, urban pest control, and environmental perception. His work centers on sensor fusion—integrating LIDAR, depth cameras, and other modalities to enable robots to perceive and act in complex, unstructured environments. Jeyabal’s major contributions include developing KOALA, a modular dual-arm robot for automated precision pruning, which addresses labor-intensive landscaping tasks through cross-functional sensor fusion. He also designed a sensor-fusion-driven fumigation robot for urban pest management, targeting mosquito breeding sites while eliminating human exposure to harmful chemicals. His foundational work on hard-to-detect obstacle mapping fuses LIDAR and depth-camera data to improve autonomous navigation safety. With multiple 2024 papers already garnering citations—including two with 7 citations each—Jeyabal’s research is gaining rapid recognition for its practical impact. By bridging perception and manipulation, he is creating robots that can safely and efficiently operate in dynamic, real-world settings, from orchards to city streets.