Danang Lelono

Papers

Total Citations

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About

Danang Lelono is a robotics researcher focused on control systems for mobile and humanoid robots, with particular expertise in trajectory tracking, position control, and intelligent fire detection. His most influential work addresses the challenge of controlling nonholonomic differential drive wheeled mobile robots (DDWMRs), where he developed linear quadratic regulator (LQR)-based controllers for MIMO nonlinear systems—a contribution that has garnered 5 citations. Lelono extended this approach to humanoid walking control by combining LQR with adaptive neuro-fuzzy inference systems (ANFIS), proposing a novel method to overcome delays in high-mobility setpoint tracking, also cited 5 times. Earlier in his career, he devised a proportional-derivative (PD) algorithm for mobile robot fire detection and tracing, enabling robots to locate and extinguish fires with minimal sensors—a practical solution for robotics competitions. Though his citation counts are modest, Lelono’s work demonstrates a consistent focus on bridging classical control theory with adaptive techniques for real-world robotic applications, particularly in constrained and dynamic environments. His research is especially relevant for students and engineers developing low-resource controllers for autonomous mobile platforms.