Adem Kikaj
Papers
3
Total Citations
51
H-Index
3
About
Adem Kikaj’s research bridges two critical domains: sustainable industrial innovation and intelligent robotics. His work on sustainability-related competences, published in 2022 and garnering 23 citations, provides a decision-support framework that helps factories integrate advanced technologies while improving business model sustainability—a vital contribution to the Industry 4.0 and green manufacturing discourse. Earlier, Kikaj made notable strides in autonomous navigation, applying genetic and fuzzy logic algorithms to enable mobile robots to detect and avoid obstacles using only a single camera, without pre-mapping the environment (17 citations). This work offers a cost-effective, adaptive solution for real-time path planning. He also tackled the complex challenge of bipedal locomotion, developing a trajectory planning and inverse kinematics solver for a 10-degree-of-freedom humanoid robot (11 citations), contributing to stability analysis and gait synthesis for walking on level ground. Across these projects, Kikaj demonstrates a rare ability to apply computational intelligence to both sustainable systems and robotic control, making his research relevant for students and engineers interested in the intersection of automation, optimization, and environmental responsibility.
Research Focus
Key Achievements
Top Papers
- 1
- 2Genetic and Fuzzy logic algorithms for robot path finding17 citations · 2016
- 3