Riyanto Sigit

Papers

Total Citations

H-Index

About

Riyanto Sigit is a robotics researcher dedicated to advancing autonomous systems for disaster response and environmental monitoring. His work centers on developing mobile robots capable of navigating hazardous, unstructured terrains—from earthquake and tsunami rubble to volcanic slopes. A key contribution is his ongoing project on disaster swarm robots, which explores critical design considerations for mobility and locomotion in extreme conditions. Sigit has pioneered the use of neural networks for online terrain classification, enabling robots to adapt their movement strategies in real-time during rescue missions. He has also designed and realized a UGV robot with a novel combined geared-wheel and walking mechanism, specifically for volcanic observation, integrating IMU, lidar, and ultrasonic sensors for semi-autonomous navigation. While his citation counts (ranging from 2 to 5) reflect a focused, early-stage body of work, his research addresses a pressing global need for robust robotic first responders. Sigit’s contributions are particularly notable for their practical, mechanical innovation, bridging the gap between theoretical control systems and real-world deployment in the most challenging environments.