Max Robotics — Global Service Robot Directory + US Certification

About

Senanjung Prayoga is a robotics researcher whose work spans mobile robotics, computer vision, and autonomous systems. Best known for pioneering real-time object detection in soccer robotics, Prayoga's 2019 paper implementing YOLO v3 for mobile soccer robots — garnering 16 citations — demonstrated a significant leap forward from traditional color filtering methods toward deep learning-based perception systems. This contribution reflects a broader commitment to advancing how robots interpret their environments visually. Prayoga's research extends into robot motion and control, with notable work on omnidirectional robot soccer systems utilizing forward and inverse kinematics alongside PID controllers, earning 8 citations. Earlier contributions include a 2D room mapping system using LiDAR technology, addressing autonomous navigation in hazardous environments. More recent work on Dijkstra's algorithm for service robot path planning underscores an evolving interest in intelligent navigation across real-world applications. Collectively, Prayoga's research portfolio addresses the full stack of autonomous robot challenges — perception, localization, motion control, and planning. With over 35 cumulative citations, their work offers valuable practical frameworks for students and engineers building intelligent robotic systems, particularly in competitive and service-oriented contexts.