Universiti Malaysia Perlis
🇲🇾 MY
Papers
163
Total Citations
2,081
H-Index
21
Researchers
250
About
Universiti Malaysia Perlis (UniMAP) has established itself as a dynamic research institution with a distinctive focus on robotics, autonomous systems, and intelligent human-machine interaction. Situated in northern Malaysia, UniMAP has cultivated a productive research culture that bridges foundational robotics engineering with emerging technologies in biomedical sensing, wireless communications, and artificial intelligence. The institution's most visible contributions center on mobile robotics and autonomous navigation. Researchers have made significant strides in coverage path planning, SLAM-based indoor mapping, and sensor integration — work that has collectively attracted hundreds of citations from the global robotics community. A landmark 2021 review on coverage path planning algorithms has garnered over 300 citations, underscoring UniMAP's capacity to synthesize and advance knowledge in robot autonomy. Complementary work on SLAM using Microsoft Kinect sensors, RP LiDAR-based mapping, and WiFi fingerprinting for indoor positioning further demonstrates a coherent, systems-level approach to solving real-world navigation challenges. Beyond mobile robotics, UniMAP researchers have made notable inroads into human-robot interaction and biomedical engineering. Studies on EEG-based emotion classification, thought-controlled robotic wheelchairs, and EMG-driven rehabilitation systems reflect a commitment to assistive and accessible technology. Their work on 5G wearable antennas and ingestible wireless capsule endoscopy extends this innovation into wireless health monitoring, with the latter paper earning over 100 citations. For prospective students and collaborators, UniMAP offers a rich interdisciplinary environment where robotics meets healthcare technology, embedded systems, and wireless communications. The institution's consistent publication output and growing citation record make it an attractive partner for research addressing real-world human-centered challenges.
Research Focus
Key Achievements
Top Papers
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- 4Human emotion classification using wavelet transform and KNN86 citations · 2011
- 5Path planning algorithm development for autonomous vacuum cleaner robots82 citations · 2014
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- 9Implementation of Line Follower Robot based Microcontroller ATMega32A41 citations · 2020
- 10Sensor based autonomous color line follower robot with obstacle avoidance39 citations · 2013
Faculty & Researchers
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