Rizky Yuniar Hakkun
Papers
2
Total Citations
5
H-Index
2
About
Rizky Yuniar Hakkun is a robotics researcher specializing in multi-agent systems, swarm intelligence, and computer vision for autonomous robots. His work focuses on enabling coordinated movement and perception in robotic teams, with applications ranging from cooperative mobile robots to soccer-playing machines. In his most cited work, "Tracking and Formation Control of Leader-Follower Cooperative Mobile Robots Based on Trilateration Data" (2016, 3 citations), Hakkun developed a formation control method for swarm robots using relative positional data and trilateration. This study demonstrated a leader-follower architecture with three robots maintaining a triangular formation, advancing practical coordination strategies for multi-robot systems. Earlier, in "An Image Processing System for Visual Servoing of Soccer Robot" (2010, 2 citations), he created a global vision system for mapping and tracking robot movements using color filters and labeled markers. This system enabled real-time position identification for each robot through two-color combinations representing robot and team IDs, contributing to the field of robotic vision for competitive environments. Hakkun’s work bridges formation control and visual servoing, offering foundational insights for autonomous robot teams in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Image Processing System for Visual Servoing of Soccer Robot2 citations · 2010