Supeno Djanali
Papers
1
Total Citations
3
H-Index
1
About
Supeno Djanali is a leading researcher in robotics and intelligent control systems, with a particular focus on bio-inspired locomotion and adaptive stabilization. His most notable contribution is the design of an intelligent balanced control system for quadruped legs, leveraging the Adaptive Neuro-Fuzzy Inference System (ANFIS) to address the critical challenge of maintaining stability on irregular terrain. By developing a 12-degree-of-freedom control algorithm, Djanali’s work provides a dynamic framework that accounts for ground surface irregularities and external disturbances, enabling more robust and autonomous robot movement. This research, published in 2023, has already garnered 3 citations, signaling its growing influence in the field of legged robotics. Djanali’s work bridges the gap between fuzzy logic and neural networks, offering a practical solution for real-world applications such as search-and-rescue missions and exploration in unstructured environments. His contributions are essential reading for students and researchers interested in advancing the stability and adaptability of robotic systems.
Research Focus
Key Achievements
Top Papers
- 1