Henry Tonoyan

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About

Henry Tonoyan’s research lies at the intersection of soft robotics, sensing, and control, with a focus on enabling closed-loop autonomy for compliant systems. His major contributions include the development of fabric-based sensory sleeves that embed stretchable capacitive strain sensors into soft robotic joints, allowing for accurate state estimation without rigid components. This work, published in 2017 and accumulating 21 citations, demonstrated a novel approach to proprioception in soft robots—a critical step toward making them more reliable and responsive. Tonoyan further advanced the field by addressing the challenge of closed-loop control for pneumatic grippers during pack-and-deploy operations. His 2018 paper, also with 21 citations, introduced methods for sensing finger configuration and object orientation, enabling grippers to adapt to misalignments and grasp diverse shapes with greater precision. Together, these contributions highlight Tonoyan’s commitment to bridging the gap between soft actuation and intelligent control, laying groundwork for practical applications in manufacturing, logistics, and field robotics. His work is particularly notable for integrating low-cost, stretchable materials with real-time feedback, making soft robots more viable for real-world deployment.