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About

Andi Dharmawan is an accomplished robotics and control systems researcher whose work spans autonomous vehicles, aerial robotics, and intelligent control methodologies. His research career reflects a consistent focus on developing sophisticated control strategies for complex robotic platforms, from early contributions in PID-controlled balancing robots and fuzzy logic line followers to advanced work on VTOL fixed-wing aircraft, quadrotors, and humanoid locomotion. Dharmawan's most significant contributions include pioneering control frameworks for quadrotor UAVs using LQR and Kalman Filter techniques, advancing VTOL transition flight modeling with realistic 3D simulation, and proposing novel hybrid LQR-ANFIS approaches for humanoid walking control. His work on Wi-Fi-based quadrotor formation flight further demonstrates his interest in multi-agent aerial systems. More recently, he has expanded into SLAM-based autonomous navigation and FPGA-based robotic arm control, signaling a broadening research vision toward full autonomous system integration. With over 47 cumulative citations across a decade of publication activity, his work has gained meaningful traction in the robotics community. His ability to bridge theoretical control design with practical implementation — across ground robots, aerial platforms, and legged systems — marks him as a versatile and impactful contributor to the field of intelligent autonomous robotics.