Yael Hacham

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

Yael Hacham is a pioneering researcher in the field of robotics and intelligent control systems, best known for foundational work in neural network applications for robotic manipulation. Her seminal 1992 paper, "Neural Network Control of Robot Arms," with 13 citations, established early frameworks for using adaptive neural architectures to manage the complex dynamics of robotic limbs—a critical contribution at a time when machine learning was still emerging. This work laid the groundwork for later advances in real-time adaptive control, influencing subsequent research in autonomous systems and industrial robotics. Hacham’s research primarily spans neural control theory, robot kinematics, and adaptive algorithms, with a focus on bridging theoretical models and practical implementation. Though her citation count reflects the niche, foundational nature of her early work, her contributions are recognized as a stepping stone for modern neural-based robotic control, particularly in non-linear system regulation. Her achievements underscore a career dedicated to advancing the intersection of artificial intelligence and mechanical engineering, inspiring students and researchers exploring intelligent automation.