Abdul Sattar Din
Papers
6
Total Citations
93
H-Index
4
About
Abdul Sattar Din is a leading researcher in soft robotics and biomimetic sensing, with a focus on developing stretchable, multimodal sensor systems and bio-inspired robotic platforms. His most impactful work, a 2017 paper on a stretchable multimodal sensor for soft robotic applications (59 citations), introduces a capacitive sensor capable of measuring uniaxial strain, pressure, and shear stress—a key contribution to deformable sensing for soft robots. Din further advanced this field by designing a stretchable array of electronic receptors for an esophageal swallowing robot (2018, 11 citations), enabling biomimetic simulations of bolus transport. His research also spans intelligent navigation, including fuzzy logic controllers for obstacle avoidance (2013) and an inchworm-inspired semi-autonomous pole-climbing robot (2022, 7 citations). Din has contributed comprehensive reviews on emotion recognition models in robots (2025, 9 citations) and soft in-pipe navigation robots (2024), addressing materials, locomotion, and actuation. With a total of over 90 citations, his work bridges fundamental sensor design and practical robotic applications, making him a notable figure in advancing soft, adaptive robotic systems for medical and industrial use.
Research Focus
Key Achievements
Top Papers
- 1A Stretchable Multimodal Sensor for Soft Robotic Applications59 citations · 2017
- 2
- 3A review of the emotion recognition model of robots9 citations · 2025
- 4Inchworm-Inspired Semi-autonomous Pole-Climbing Robot7 citations · 2022
- 5
- 6Fuzzy logic controller for robot navigation in an unknown environment3 citations · 2013