N. Demaku

University of London, Kingston University

Papers

Total Citations

H-Index

About

N. Demaku is a researcher specializing in autonomous robotics, artificial intelligence, and control systems, with a focus on mobile robot navigation and humanoid locomotion. Their major contributions lie in developing hybrid algorithms that combine artificial neural networks, fuzzy logic, and genetic algorithms to solve complex path-finding and obstacle avoidance problems in static and dynamic environments. Notably, their 2015 work on an "Artificial Neural Fuzzy Logic Algorithm for Robot Path Finding" (18 citations) and the 2016 follow-up integrating genetic algorithms (17 citations) have been influential in advancing efficient, camera-based navigation without pre-mapped environments. Demaku also made significant strides in bipedal robotics with their 2016 study on "Trajectory Planning and Inverse Kinematics Solver for Real Biped Robot with 10 DOF-s" (11 citations), which addressed stability and gait synthesis for humanoid robots walking on level ground. This work contributes to the broader challenge of achieving stable, human-like locomotion. With a total of over 45 citations across these key papers, Demaku’s research demonstrates a sustained impact on practical robotics, offering scalable solutions for autonomous systems and inspiring further innovation in intelligent control and motion planning.