Daniell Dokko
Papers
2
Total Citations
309
H-Index
2
About
Daniell Dokko is a pioneering researcher in surgical robotics and haptic feedback systems, with a primary focus on enhancing teleoperation technologies for minimally invasive procedures. His seminal work investigates the role of sensory substitution in robotic surgical systems, particularly how alternative feedback mechanisms can compensate for the absence of direct haptic sensation. Dokko’s most cited paper, “Effect of sensory substitution on suture-manipulation forces for robotic surgical systems” (2004, 278 citations), demonstrates that visual or auditory cues can significantly reduce excessive forces during fine suture manipulation, a critical challenge in robot-assisted surgery. This research addresses a key limitation of commercial systems, which often lack bilateral telemanipulation capabilities. By quantifying force reduction and improving operator precision, Dokko’s contributions have influenced the design of safer, more intuitive surgical interfaces. His work is foundational for students and researchers exploring human-machine interaction, teleoperation, and haptic feedback, offering practical insights into mitigating risks in delicate procedures. With over 300 combined citations, Dokko’s studies remain essential references for advancing robotic surgery toward greater dexterity and patient safety.
Research Focus
Key Achievements
Top Papers
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