Sarafat Hussain Abhi
Papers
4
Total Citations
210
H-Index
4
About
Sarafat Hussain Abhi is a pioneering researcher at the intersection of digital twin technology, robotics, and healthcare innovation. His work centers on creating virtual replicas of physical systems—from surgical environments to legged robots—to enable safer, more efficient real-world operations. Abhi’s landmark 2024 paper, “Digital twin: Data exploration, architecture, implementation and future,” has garnered 148 citations, establishing him as a leading voice in defining the architecture and practical deployment of digital twins beyond their NASA-originated roots. He further advanced this field by integrating the Internet of Robotic Things (IoRT) with collaborative digital twins for future surgical sectors, a visionary contribution with 31 citations that promises to transform digital healthcare. Abhi’s expertise extends to next-generation legged robot locomotion, where his 2024 review on control techniques (16 citations) outlines pathways for autonomous robots in manufacturing, search and rescue, and elderly care. He also explores self-healing soft robotics (15 citations), addressing critical safety and durability challenges for human-robot interaction. Through these interconnected contributions, Abhi is shaping the future of intelligent, adaptive systems that bridge the digital and physical worlds.
Research Focus
Key Achievements
Top Papers
- 1Digital twin: Data exploration, architecture, implementation and future148 citations · 2024
- 2
- 3Next generation legged robot locomotion: A review on control techniques16 citations · 2024
- 4A review on self-healing featured soft robotics15 citations · 2023