Laith AbuAssi

Khalifa University of Science and Technology

Papers

6

Total Citations

55

H-Index

4

About

Laith AbuAssi is an emerging researcher at the forefront of intelligent sensing and robotic systems for advanced manufacturing, with a particular focus on vision-based tactile sensors, collaborative robots (cobots), and precision automation in aerospace applications. His work addresses a critical challenge in modern industry: enabling cobots to achieve the high-precision performance required for demanding applications such as aero-engine inspection, blade dynamic balancing, and precision machining. AbuAssi's most notable contribution is the development of novel vision-based multi-functional sensors capable of measuring normality and position in robotic manufacturing environments, a paper that has already garnered 23 citations since its 2024 publication — a remarkable early impact. His virtual prototyping framework for Vision-Based Tactile Sensors (VBTS) design and his pioneering PiezoSight system, which hybridizes vision-based sensing with piezoresistive stimulation, demonstrate a drive to push beyond existing sensing limitations. His multi-layered VBTS work further tackles the fundamental sensitivity-range trade-off inherent to such systems. With a rapidly growing citation record across six influential publications, AbuAssi is establishing himself as a key innovator in the fourth industrial revolution, bridging robotics, computer vision, and precision manufacturing.

Research Focus

Key Achievements

4
H-Index
6
Papers
55
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A novel vision-based multi-functional sensor for normality and position measurements in precise robotic manufacturing
23 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Khalifa University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago