Wasim Arif
Papers
2
Total Citations
15
H-Index
2
About
Wasim Arif is a researcher at the forefront of embedded systems and the Internet of Things (IoT), with a particular focus on bridging the gap between human dexterity and robotic control. His work centers on creating intuitive, wireless interfaces for real-time manipulation, a field with profound implications for remote surgery, industrial automation, and advanced prosthetics. In his highly cited 2020 paper, Arif introduced an IoT-based wireless system that allows a human operator to remotely control a robotic hand, effectively mimicking natural hand movements. This contribution, which has garnered 8 citations, demonstrates a practical pathway for teleoperation in hazardous or inaccessible environments. Complementing this, his 2016 work on a quaternion-based wireless Attitude and Heading Reference System (AHRS) showcases his expertise in precise 3D orientation tracking. By leveraging wireless modules like the nRF24L01 and HC-05, Arif developed a robust method for capturing and transmitting orientation data—a critical component for applications ranging from human motion monitoring to UAV navigation. With these foundational contributions, Wasim Arif is establishing himself as a key innovator in making remote physical interaction more seamless and responsive.
Research Focus
Key Achievements
Top Papers
- 1
- 2Quaternion based wireless AHRS data transfer using nRF24L01 and HC-057 citations · 2016