Hadha Afrisal
Diponegoro University, Universitas Gadjah Mada, King's College London
Papers
9
Total Citations
129
H-Index
5
About
Hadha Afrisal is a robotics researcher whose work focuses on developing intelligent robotic systems for healthcare and industrial applications. His primary research areas include robot manipulator design, mobile robot navigation, trajectory planning, and bio-inspired mechanisms. Afrisal's most impactful contribution is his 2022 study on a 4-DOF RPRR robot manipulator for pick-and-place tasks in healthcare environments, which has garnered 33 citations and addresses critical infection control challenges during the COVID-19 pandemic. He has also made significant advances in indoor robot localization, with his 2018 paper on scene recognition using deep CNNs receiving 28 citations, and his work on omni-wheeled mobile robot navigation based on inverse kinematics and odometry accumulating 23 citations. Afrisal's research on trajectory planning for robotic arm test tube handling systems (26 citations) demonstrates his commitment to automating laboratory processes in medical settings. Additionally, he has explored innovative bio-inspired mechanisms, including an electro-active Velcro system using Shape Memory Alloy for wearable stiffness control. Through his diverse portfolio spanning manipulator control, path planning, and medical robotics, Afrisal continues to advance the field of autonomous systems for healthcare and industrial environments.
Research Focus
Key Achievements
Top Papers
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- 2Scene Recognition for Indoor Localization of Mobile Robots Using Deep CNN28 citations · 2018
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