Papers
14
Total Citations
194
H-Index
7
About
Zahari Taha is a robotics and automation researcher whose work spans human-robot interaction, rehabilitation robotics, and intelligent control systems. With a career extending from foundational studies in neural network-based hand grasping models in the 1990s to cutting-edge exoskeleton development, Taha has consistently pushed the boundaries of applied robotics across multiple domains. His most significant contributions lie in virtual reality-based robot programming, where he pioneered intuitive interfaces that eliminate the need for complex command knowledge in industrial robotic work cells — work that has collectively earned 64 citations and remains influential in manufacturing automation. Taha has also made considerable strides in rehabilitation robotics, developing a hybrid active force control system for lower limb exoskeletons targeting gait rehabilitation, alongside comprehensive clinical investigations and literature reviews in this field, reflecting both technical rigor and patient-centered thinking. Beyond these areas, his research encompasses omnidirectional machine vision for mobile robot navigation, automated guided vehicle collision avoidance, and brain-computer interfaces for robotic hand control — demonstrating remarkable breadth. With over 180 cumulative citations across his published work, Taha's research portfolio represents a meaningful and sustained contribution to intelligent robotics, making him a valuable reference point for students exploring human-robot interaction, assistive technology, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2VR-Based Robot Programming and Simulation System for an Industrial Robot32 citations · 2008
- 3
- 4Modelling and simulation of the hand grasping using neural networks23 citations · 1997
- 5Omnidirectional Vision for Mobile Robot Navigation21 citations · 2010
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- 9
- 10Steady state-VEP based BCI for control gripping of a robotic hand6 citations · 2009