Max Robotics — Global Service Robot Directory + US Certification

About

Hary Oktavianto is a robotics researcher whose work bridges the gap between autonomous navigation and real-world competitive robotics. His primary research areas include sensor fusion, object detection, and multi-robot cooperation, with a strong emphasis on applications in soccer robotics and search-and-rescue missions. His most cited work, "Pose Estimation on Soccer Robot using Data Fusion from Encoders, Inertial Sensor, and Image Data" (2019, 16 citations), addresses a critical challenge in RoboCup Middle Size League: accurately determining robot position by combining multiple sensor inputs. This contribution has been foundational for teams seeking robust localization in dynamic environments. Oktavianto has also advanced computer vision for disaster response, developing a camera-based detection system using the YOLO method for the Indonesian Search And Rescue Robot Competition (2022, 10 citations), enabling legged robots to identify and rescue victims in simulated burning buildings. His innovative "Fuzzy Social Force Model" (2020) applies adaptive control to improve robot soccer navigation, while his work on corner detection with 2-D RPLIDAR (2020) supports firefighting robots in the Trinity College International Firefighting Robot Contest. Through these projects, Oktavianto demonstrates a consistent commitment to deploying intelligent, competition-tested robotics solutions for real-world challenges.