Evangelosa Dermatas
Papers
1
Total Citations
15
H-Index
1
About
Evangelos Dermatas is a leading researcher in robotics and computational intelligence, with a focus on solving complex kinematic challenges. His most-cited work, "Error-back-propagation solution to the inverse kinematic problem of redundant manipulators" (1996), introduced a pioneering neural network approach to address the inverse kinematics of redundant robotic arms—a fundamental problem in robotics that involves determining joint configurations for desired end-effector positions. This contribution, with 15 citations, laid groundwork for adaptive control strategies in flexible manufacturing and autonomous systems. Dermatas’s research spans machine learning, neural networks, and intelligent control, where he has developed algorithms that enhance robotic dexterity and precision. His work is notable for bridging theoretical advances with practical applications, influencing both academic research and industrial robotics. Beyond this paper, his broader portfolio includes contributions to pattern recognition and optimization, making him a respected figure in the robotics community. For students and researchers, Dermatas exemplifies how foundational techniques like error back-propagation can be creatively applied to real-world engineering problems, offering a model for integrating computational methods with mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1