Wan Zuha Wan Hasan

About

Wan Zuha Wan Hasan is a prolific Malaysian researcher whose work spans robotics, rehabilitation engineering, agricultural automation, and embedded systems. With a strong foundation in sensor technologies, his early contributions — including a widely cited 2013 sensitivity study and a 2015 survey on pressure sensors for robotic hands (169 citations) — established him as a leading voice in tactile sensing and robotic design. His research expanded significantly into rehabilitation robotics, culminating in a highly influential 2020 review on upper limb rehabilitation robots (194 citations), which addressed the global shortage of therapists and the growing demand for post-stroke recovery solutions. He has also explored shape memory alloy actuators and surface EMG-controlled robotic devices, bridging assistive technology with practical clinical applications. Beyond medical robotics, Wan Zuha has made notable contributions to agricultural automation, particularly in palm oil harvesting, with computer vision work using YOLOv4 for fruit ripeness detection gaining rapid traction. His interests further extend to UAV systems, FPGA-based controllers, and deep reinforcement learning for mobile robot navigation. With over 430 cumulative citations, his diverse yet interconnected body of work reflects a commitment to impactful, application-driven engineering research.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review on Upper Limb Rehabilitation Robots

   194 citations · 2020
2. 2
   Pressure Sensor: State of the Art, Design, and Application for Robotic Hand

   169 citations · 2015
3. 3
   Real-Time Detection of Ripe Oil Palm Fresh Fruit Bunch Based on YOLOv4

   49 citations · 2022
4. 4
   Shape memory alloys actuated upper limb devices: A review

   44 citations · 2023
5. 5
   Oil Palm Fresh Fruit Bunch Ripeness Detection Methods: A Systematic Review

   37 citations · 2023
6. 6
   Unmanned Aerial Vehicle Quadcopter: A Review

   36 citations · 2017
7. 7
   A Review on Surface Electromyography-Controlled Hand Robotic Devices Used for Rehabilitation and Assistance in Activities of Daily Living

   33 citations · 2019
8. 8
   Deep Reinforcement Learning of Mobile Robot Navigation in Dynamic Environment: A Review

   28 citations · 2025
9. 9
   Robotic Controller: ASIC versus FPGA—A Review

   27 citations · 2018
10. 10
    A sensitivity study of piezoresistive pressure sensor for robotic hand

    16 citations · 2013

Key Collaborators

Contact & Links