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About

Xhevahir Bajrami is a robotics and intelligent systems researcher whose work spans humanoid robotics, autonomous mobile robot navigation, and advanced control algorithms. With a career anchored in both theoretical modeling and practical implementation, Bajrami has made significant contributions to the fields of biped locomotion, robot kinematics, and AI-driven path planning. His early foundational work on modeling and controlling humanoid robots (2013, 28 citations) and kinematics and dynamics of biped systems established him as a key voice in legged robotics research. Bajrami has been particularly prolific in tackling one of autonomous robotics' most persistent challenges — obstacle detection and avoidance — deploying innovative solutions including Artificial Neural Fuzzy Logic (18 citations), Genetic Algorithms (17 citations), and Convolutional Neural Networks for quadruped control. His application-oriented studies, including real-world fuzzy logic controller deployments on mobile robots, reflect a commitment to bridging theoretical frameworks with physical systems. Collectively accumulating over 140 citations, his body of work demonstrates sustained relevance in a rapidly evolving field, making his research an essential reference for students and engineers working at the intersection of robotics, artificial intelligence, and control systems engineering.