Abu Bakar Dawood
Papers
7
Total Citations
76
H-Index
5
About
Abu Bakar Dawood is a pioneering researcher at the intersection of soft robotics, surgical technology, and intelligent sensing. His work centers on developing soft robotic systems with advanced perception capabilities, particularly for minimally invasive surgery (MIS) and safe human-robot interaction. Dawood’s major contributions include the development of silicone-based capacitive e-skins that can simultaneously detect external forces (exteroception) and internal deformations (proprioception)—a critical challenge in soft robotics. His research on the STIFF-FLOP project, which fuses dexterity and perception for soft robot-assisted MIS, has garnered 30 citations and represents a significant step toward more intuitive surgical tools. Dawood has also pioneered optical tomography-inspired soft skin sensors for real-time pressure estimation and localization, enabling high-speed feedback for adaptive robot behavior. His work on decoupled multi-touch force estimation and stretch detection for capacitive e-skins further advances the field of distributed sensor arrays. With over 70 total citations across his publications, Dawood’s research is shaping the next generation of soft robots that can feel, perceive, and respond to their environment—paving the way for safer, more capable surgical and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Silicone-based Capacitive E-skin for Exteroception and Proprioception22 citations · 2020
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- 6Silicone Based Capacitive E-Skin Sensor for Soft Surgical Robots3 citations · 2020
- 7