Mochamad Fajar Rinaldi Utomo
Papers
1
Total Citations
30
H-Index
1
About
Mochamad Fajar Rinaldi Utomo is a researcher specializing in human-robot interaction and sensor-based control systems, with a particular focus on underwater robotics and gesture recognition technologies. His most cited work, "Development of hand gesture recognition sensor based on accelerometer and gyroscope for controlling arm of underwater remotely operated robot" (2017, 30 citations), introduces an intuitive sensor system that captures operator hand positions to control the arm of an underwater remotely operated vehicle. The key innovation lies in its user-friendly design, requiring no prior training or exercise, making remote manipulation more accessible and efficient. This contribution addresses critical challenges in underwater exploration and intervention tasks, where precise and natural control interfaces are essential. Utomo's research bridges the gap between human dexterity and robotic precision, offering practical solutions for marine operations. His work has garnered attention for its potential to enhance safety and productivity in underwater environments, demonstrating a clear impact on the field of robotics and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1