Tun Hussein Onn University of Malaysia

🇲🇾 MY

Papers

179

Total Citations

2,969

H-Index

27

Researchers

210

About

Tun Hussein Onn University of Malaysia (UTHM) has established itself as a dynamic research institution at the intersection of robotics, artificial intelligence, and intelligent systems, with a particularly strong track record in autonomous navigation, rehabilitation robotics, and AI-driven solutions for real-world challenges. The university's research portfolio reflects a coherent vision: harnessing advanced computational and robotic technologies to address pressing societal and industrial needs. UTHM's most celebrated contributions lie in autonomous mobile robotics, particularly in path planning optimization. The institution's work on improved Q-learning algorithms for mobile robot navigation has garnered over 320 citations, establishing UTHM as a recognized voice in reinforcement learning-based robotics. Subsequent refinements — including modified Q-learning frameworks incorporating distance metrics, virtual targets, and distortion concepts — demonstrate a sustained research thread with genuine depth and progression. Beyond navigation, UTHM researchers have made meaningful strides in rehabilitation robotics, developing portable and reconfigurable wrist robots for post-stroke recovery, and in soft robotics, pioneering amphibious quadruped designs using McKibben actuators. The university also contributes prominently to fog computing, machine learning integration, disaster management through AI, and robotic process automation — reflecting broad interdisciplinary reach. Researchers at UTHM have actively shaped Industry 4.0 and Construction 5.0 discourse, examining human-robot collaboration and digital competency frameworks with practical relevance to Malaysian industrial transformation. The institution's cumulative citation record, spanning foundational sensor technologies to emerging AI applications, signals both scholarly credibility and real-world impact. For prospective students and collaborators seeking a research environment that bridges fundamental robotics with applied innovation in Southeast Asia, UTHM presents a compelling and growing opportunity.

Research Focus

Key Achievements

27
H-Index
179
Papers
2,969
Total Citations
210
Faculty & Researchers
🏆 Most Cited Paper
Solving the optimal path planning of a mobile robot using improved Q-learning
321 citations · 2019
📊 Avg Citations/Paper: 17
📈 Most Prolific Year: 2021 (19)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Mathematics, Mobile robot

Top Papers

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    Wireless Mobile Robotic Arm
    77 citations · 2012
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Faculty & Researchers

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