Aulia Khilmi Rizgi

Papers

Total Citations

H-Index

About

Aulia Khilmi Rizgi is a robotics researcher specializing in humanoid robot perception and control, with a primary focus on RoboCup soccer platforms. His work centers on developing robust visual perception systems and balance recovery mechanisms for the EROS humanoid robot. Rizgi’s most significant contributions include advancing color segmentation and machine learning algorithms to improve ball and field detection under RoboCup’s increasingly restrictive color-coding rules—a critical challenge addressed in his 2020 paper on the EROS visual perception system, which has garnered 7 citations. Earlier, his 2018 work on field and ball detectors (5 citations) laid the groundwork for more resilient vision in dynamic environments. Additionally, Rizgi explored balance recovery through slight body movements (3 citations), tackling the problem of maintaining stability under large disturbances—a key limitation in humanoid soccer. His research directly impacts the practical deployment of autonomous humanoid robots in competitive, real-time settings. By integrating perception and control, Rizgi’s work helps bridge the gap between laboratory robotics and robust, field-ready performance, making him a notable contributor to the RoboCup community and humanoid locomotion research.