Sonoma Harris

Papers

Total Citations

H-Index

About

Sonoma Harris is a researcher in biomechatronics and haptic sensing, with a focus on understanding and replicating human dexterity in robotic systems. Her work bridges the gap between biological mechanics and artificial manipulation, particularly through the development of novel sensing methods for robotic hands. Harris’s most-cited study introduces a grasp force sensing technique that combines visual servoing with fingernail imaging, a method that predicts 3-D fingertip forces by analyzing color changes in the nail bed—a non-invasive approach with potential for both prosthetics and human-robot interaction. This paper, with 4 citations, demonstrates her ability to integrate computer vision with tactile feedback. In another key contribution, she validated a bond graph model of the index finger’s tendon system using the ACT hand, overcoming challenges like static joint friction to provide deeper insights into the muscular-skeletal dynamics that enable precision grip. Though her citation counts are modest, Harris’s work is foundational for researchers exploring biomimetic control and sensor design. Her achievements include advancing the validation of complex biomechanical models, offering a pathway toward more lifelike and responsive robotic hands.