Ferryawan Harris Kristanto
Papers
2
Total Citations
13
H-Index
2
About
Ferryawan Harris Kristanto is a robotics researcher whose work centers on intelligent control systems and autonomous navigation for mobile robots. His primary research areas include wall-following robot control, collision avoidance systems, and the application of nature-inspired optimization algorithms to robotic control. Kristanto’s most cited work, “Performance of a Wall-Following Robot Controlled by a PID-BA using Bat Algorithm Approach” (2022, 9 citations), introduces a novel PID controller tuned by the Bat Algorithm—a metaheuristic inspired by echolocation—to enable smooth, obstacle-free wall tracking. This contribution demonstrates his skill in bridging classical control theory with modern optimization. In his 2024 study, “Collision avoidance of mobile robot using Alexnet and NVIDIA Jetson Nano B01” (4 citations), Kristanto leverages deep learning by deploying the AlexNet convolutional neural network on an NVIDIA Jetson Nano for real-time obstacle detection and avoidance. This work highlights his ability to integrate edge AI with embedded robotics. Though early in his career, Kristanto’s research shows promise in advancing autonomous robot navigation through hybrid control and vision-based methods.
Research Focus
Key Achievements
Top Papers
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