Nizhar Achmad Husein Bernardt
Papers
1
Total Citations
2
H-Index
1
About
Nizhar Achmad Husein Bernardt is a robotics researcher specializing in computer vision and autonomous systems, with a primary focus on real-time object tracking and motion prediction for soccer robots. His most-cited work, "Prediction of Ball Position Using CNN Methods With Zed Camera on Goalkeeper Robot Application" (2025), addresses a critical bottleneck in wheeled soccer robotics: image processing delays that hinder goalkeeper response times. By integrating convolutional neural networks with stereo vision, Bernardt’s approach enables predictive ball tracking, significantly improving reaction speed and accuracy. This contribution has direct implications for the EEPIS Robot Soccer On Wheeled (ERSOW) team, which competes in the Indonesian Wheeled Soccer Robot Contest. Though his citation count is currently modest (2 citations), his work represents a practical advancement in embedded vision systems for real-time robotics. Bernardt’s research bridges deep learning and mechanical control, offering a scalable solution for latency-sensitive applications beyond sports robotics, such as autonomous navigation and industrial automation. His achievements highlight a promising trajectory in applied AI and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1