Tareq Alhmiedat
Papers
17
Total Citations
310
H-Index
11
About
Tareq Alhmiedat is a prominent researcher specializing in autonomous robotics, indoor navigation systems, and the application of emerging technologies in healthcare. His work sits at the intersection of artificial intelligence, human-robot interaction, and IoT-enabled systems, addressing real-world challenges with innovative technical solutions. Alhmiedat has made significant contributions to robot semantic navigation, authoring a widely cited survey on the topic (47 citations) and developing deep learning-based and SLAM-based navigation frameworks that enhance how robots perceive and interpret indoor environments. His semantic classification approach and experimental studies on vision systems have collectively advanced the field's understanding of intelligent autonomous mobility. Beyond navigation, Alhmiedat demonstrates a meaningful commitment to socially impactful robotics. He has developed cloud-based frameworks to enhance social robot intelligence and pioneered applications such as SARA, a social robot system designed to support diabetes management in children. His gesture-controlled, IoT-enabled smart wheelchair system (33 citations) exemplifies his dedication to accessible assistive technology. He has also explored the role of technology in combating childhood obesity, reflecting a broader vision of technology serving public health. With over 260 cumulative citations across his most prominent works and a consistently growing publication record from 2021 to 2024, Alhmiedat is an influential and evolving voice in intelligent robotics and human-centered technology design.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Robot Semantic Navigation Systems for Indoor Environments47 citations · 2023
- 2Finger-Gesture Controlled Wheelchair with Enabling IoT33 citations · 2022
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- 4A Semantic Classification Approach for Indoor Robot Navigation26 citations · 2022
- 5Autonomous Maze Solving Robotics: Algorithms and Systems23 citations · 2021
- 6Efficacy of Emerging Technologies to Manage Childhood Obesity23 citations · 2022
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- 8Employing Social Robots for Managing Diabetes Among Children: SARA20 citations · 2023
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