Awang Hendrianto Pratomo
National University of Malaysia, Universitas Pembangunan Nasional Veteran Yogyakarta
Papers
8
Total Citations
55
H-Index
4
About
Awang Hendrianto Pratomo is a leading figure in autonomous robotics, with a career-long focus on multi-agent systems, computer vision, and real-time control. His most influential work, "Position and Obstacle Avoidance Algorithm in Robot Soccer" (22 citations), established foundational methods for autonomous navigation in dynamic, competitive environments. Pratomo has systematically advanced robot soccer—a rich testbed for artificial intelligence—by developing ball control techniques based on predefined scenarios and adaptive defensive strategies that enable teams to learn and respond to opponents' behaviors. Beyond the soccer pitch, he has tackled fundamental challenges in autonomous systems, including un-uniform illumination and camera calibration, proposing neural network-based approaches to transform real-world coordinates into camera coordinates. His recent work extends to drone navigation, where he developed a fast component-based two-staged algorithm for QR code recognition in the Indonesian National Drone Robot Contest (KRTI). With a portfolio spanning over a decade, Pratomo’s research bridges theoretical computer vision and practical multi-robot coordination, yielding cumulative citations that underscore his contributions to making autonomous robots more perceptive, cooperative, and reliable in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Position and Obstacle Avoidance Algorithm in Robot Soccer22 citations · 2010
- 2
- 3
- 4Illumination Systems for Autonomous Robot: Implementation and Design4 citations · 2009
- 5
- 6Adaptive Robot Soccer Defence Strategy via Behavioural Trail2 citations · 2012
- 7
- 8A study on image calibration technique for Autonomous Robot2 citations · 2009