Max Robotics — Global Service Robot Directory + US Certification

About

Handayani Tjandrasa is a robotics researcher whose work centers on intelligent control systems for legged robots and brain-computer interfaces. Her primary research areas include quadruped robot locomotion, adaptive control using neuro-fuzzy systems, and EEG-based motion control. She has made significant contributions to the development of balance and stability algorithms for quadruped robots, particularly through the use of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to enable dynamic stability on irregular terrain. Her most cited work, "Robot Motion Control Using the Emotiv EPOC EEG System" (7 citations), explores the use of brain signals to command robotic motion, showcasing her interest in human-robot interaction. She has also designed and tested novel quadruped robot platforms, such as the "Kancil" and "Kancil-V2," with 4×2-DOF configurations, and developed swing trajectory models for periodic balanced motion using V-REP simulators. Her 2023 paper on intelligent balanced control for 12-DOF quadruped legs addresses critical challenges in real-world terrain adaptation. With a total of over 16 citations across her key works, Tjandrasa’s research advances the practical deployment of adaptive, bio-inspired control systems in robotics.