Muhammad Hisyam Rosle
Papers
5
Total Citations
59
H-Index
3
About
Muhammad Hisyam Rosle is a robotics researcher whose work bridges soft robotics, tactile sensing, and assistive technology. His primary research areas include prosthetic and robotic manipulation, soft tactile sensors, and human-robot interaction. Rosle’s most impactful contribution is a comprehensive review on prosthetic robot arms that achieve human-like holding, grasping, and sensing—a work cited 28 times that charts the path toward more natural bionic limbs. He has made significant advances in Hall-effect-based soft tactile sensing, developing a soft fingertip that uses magnetic flux density changes to detect the orientation of thin objects like circuit boards during grasping (20 citations). This work moves beyond trial-and-error sensor design toward principled geometry optimization. Rosle has also contributed to assistive robotics through a soft wearable robotic glove with electroadhesion pads that improve grasping friction for patients with neuromuscular impairment. Additionally, his work on an indoor automated fire extinguisher robot using computer vision demonstrates his versatility in applying open-source image processing to safety applications. With a growing citation record and innovations spanning from fundamental tactile sensing to practical assistive devices, Rosle is establishing himself as a researcher dedicated to making robotic hands and grippers more dexterous, perceptive, and useful in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 5Indoor Automated Fire Extinguisher System using Computer Vision2 citations · 2023