Muhammad Auzan

Papers

Total Citations

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About

Muhammad Auzan is a robotics researcher specializing in locomotion control for wheeled and legged robots, with a focus on nonlinear dynamics, path tracking, and stability. His work addresses fundamental challenges in mobile robotics, particularly for systems with constrained movement, such as differential drive wheeled mobile robots (DDWMRs), humanoids, and quadrupeds. Auzan’s major contributions include designing low-resource controllers for MIMO nonlinear systems using Linear Quadratic Regulators (LQR) and adaptive neuro-fuzzy inference systems (ANFIS). His 2021 paper on DDWMR path tracking and position control (5 citations) tackles the problem of linearizing nonlinear robot dynamics for efficient LQR implementation. In 2023, he proposed a novel LQR-ANFIS hybrid controller for humanoid walking, addressing delays in high-mobility setpoint tracking (5 citations). Most recently, his 2024 work on quadruped stabilization uses fuzzy logic control for yaw angle adjustment during walking and trotting gaits (3 citations), directly improving attitude angle stability to prevent directional drift. With a cumulative 13 citations across his top papers, Auzan is advancing practical, computationally efficient control strategies for next-generation mobile robots.