Devi Gusnaensi Tinambunan
Papers
1
Total Citations
3
H-Index
1
About
Devi Gusnaensi Tinambunan is a researcher in robotics and computer vision, with a focus on autonomous navigation and real-time object detection for dynamic environments. Her most cited work, "Goal Detection and Opponent Avoidance Algorithm for Wheeled Robot Soccer using Color Filtering and Contour Extraction" (2018), introduces a robust, computationally efficient algorithm that enables wheeled robots to identify goalposts and evade opponents using color filtering and contour extraction from camera input. This contribution addresses a core challenge in robot soccer—balancing accurate target recognition with rapid obstacle avoidance—and has garnered 3 citations, serving as a practical reference for low-cost, vision-based robotic systems. Tinambunan’s research emphasizes simplicity and reliability, making advanced robotics techniques more accessible for educational and competitive platforms. Her work exemplifies the integration of fundamental image processing methods into real-time decision-making, offering a foundation for further studies in autonomous robotics and embedded vision systems.
Research Focus
Key Achievements
Top Papers
- 1