Khai Yi Chin

University of Michigan–Ann Arbor, Worcester Polytechnic Institute

Papers

Total Citations

160

H-Index

About

Khai Yi Chin is a pioneering researcher at the intersection of soft robotics and swarm intelligence, whose work bridges the gap between flexible actuation and collective decision-making. His most influential contribution is the development of **Smart Braid McKibben Muscles**, a novel contraction-sensing technology for soft fluidic actuators. By embedding inductance-based sensors directly into the braided mesh of McKibben muscles, Chin solved a fundamental challenge in soft robotics: measuring motion without rigid joints. His 2015 paper on this topic has garnered **106 citations**, establishing a foundational technique for closed-loop control of compliant systems. He further advanced this work in 2017 (43 citations) by experimentally demonstrating precise motion control using these flexible sensors, enabling soft robots to operate with unprecedented accuracy in unstructured environments. More recently, Chin has expanded into swarm robotics with his 2023 study on **minimalistic collective perception**, where he showed that robot swarms can reach consensus on environmental features using imperfect sensors—a critical step toward deploying resilient, low-cost swarms in real-world scenarios. His work is notable for its cross-domain impact, merging hardware innovation with algorithmic elegance to push the boundaries of autonomous systems.