Muhammad Anwar Sanusi
Politeknik Elektronika Negeri Surabaya, Universitas Negeri Surabaya
Papers
2
Total Citations
5
H-Index
2
About
Muhammad Anwar Sanusi is a robotics researcher whose work focuses on developing intelligent mobile robots for operation in extreme and unpredictable environments, particularly for disaster response and volcanic observation. His key research areas include terrain classification, autonomous navigation, and novel mechanical locomotion systems. In his most cited work, Sanusi introduced an online terrain classification system using neural networks, enabling disaster robots to dynamically adapt their movement strategies based on real-time surface conditions—a critical capability for rescue missions in chaotic environments. His second major contribution involves the design and realization of a UGV robot that combines geared wheel and walking mechanisms, specifically engineered for the rugged, uncertain terrain of volcanic observation. This hybrid locomotion system, integrated with semi-autonomous navigation using IMU and LiDAR sensors, represents a significant advancement in mobile robotics for hazardous geological monitoring. Though his citation counts (3 and 2) reflect an emerging career, Sanusi’s work addresses pressing real-world challenges, bridging the gap between theoretical robotics and practical deployment in life-saving and scientific applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2