Papers
5
Total Citations
228
H-Index
3
About
Fahad Sherwani is a forward-thinking researcher at the intersection of robotics, artificial intelligence, and education. His work primarily explores the transformative role of collaborative robots in Industry 4.0, as highlighted in his most-cited paper, "Collaborative Robots and Industrial Revolution 4.0 (IR 4.0)" (2020, 217 citations). This influential study positions cobots as key drivers of modern manufacturing, demonstrating how human-robot collaboration reshapes production efficiency and safety. Sherwani also investigates the societal implications of automation, notably in "Impact of Artificial Intelligence (AI) and Robotics on Students' Career Choice" (2022), examining how technological advancement influences educational pathways. His technical contributions span rehabilitation engineering, including a preliminary framework for FES-cycling systems for spinal cord injury patients (2015), and autonomous navigation through rapidly-exploring random trees for robotic path planning (2013). Most recently, his 2025 work on robotics in STEM education addresses emerging challenges and opportunities for integrating robotics into learning environments. With a growing citation footprint and a diverse portfolio spanning industrial automation, assistive technology, and educational robotics, Sherwani is establishing himself as a versatile contributor to the evolving dialogue between humans and machines.
Research Focus
Key Achievements
Top Papers
- 1Collaborative Robots and Industrial Revolution 4.0 (IR 4.0)217 citations · 2020
- 2
- 3
- 4Robotic path planning using rapidly-exploring random trees3 citations · 2013
- 5