Rudy Dikairono
Papers
9
Total Citations
46
H-Index
4
About
Rudy Dikairono is an Indonesian robotics and computer vision researcher whose work centers on autonomous robot systems, intelligent perception, and motion planning. He has made significant contributions to the field of soccer robotics, particularly in developing sophisticated algorithms for real-time ball detection, tracking, and position estimation using fish-eye and omni-directional cameras. His most cited work, "Visual Ball Tracking and Prediction with Unique Segmented Area on Soccer Robot" (2017, 15 citations), introduced a novel visual detection framework for goalkeeper robots — a specialized and underexplored niche within humanoid and wheeled robot soccer research. Dikairono has further advanced goalkeeper intelligence through neural network-based ball position mapping and predictive navigation systems, enabling robots to anticipate ball trajectory and arrival time with greater accuracy. Beyond soccer robotics, his research extends into CNN-based self-localization, IoT-controlled service robots, autonomous surface vehicles for maritime search-and-rescue operations, and LQR-based unicycle robot control. This breadth reflects his commitment to applying intelligent robotics across real-world domains. With a growing publication record and cumulative citations across multiple international venues, Dikairono represents an emerging voice in applied robotics engineering, bridging theoretical control systems with practical autonomous platform development.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ball Position Estimation in Goal Keeper Robots Using Neural Network7 citations · 2020
- 3Motion planning simulator for holonomic robot soccer platform6 citations · 2017
- 4
- 5
- 6Robot Orientation Estimation Based on Single-Frame of Fish-eye Image3 citations · 2020
- 7
- 8
- 9