Youngjoon Baek

Papers

Total Citations

101

H-Index

About

Youngjoon Baek is a rising leader in soft robotics and bioinspired sensing, whose work bridges the gap between lifelike robotic locomotion and advanced tactile interfaces. His research centers on the design, modeling, and control of soft robotic systems, with a particular focus on integrating flexible sensors to enable more natural and adaptive robot behavior. Baek’s most cited work, “Modeling and Control of a Soft Robotic Fish with Integrated Soft Sensing” (2021, 81 citations), demonstrates how entirely soft robots can replicate complex undulatory swimming mechanics, offering a powerful platform for both novel propulsion and biomechanical study. More recently, his study on “Fiber-Optic Force Sensing of Modular Robotic Skin” (2024, 20 citations) introduces a groundbreaking approach to tactile sensing that mimics animal mechanoreception, enabling remote and autonomous robot control with high dexterity. This work holds significant promise for hazardous environments where human-like manipulation is critical. By combining soft actuation with distributed sensing, Baek is shaping the next generation of robots that are safer, more compliant, and more perceptive—pushing the boundaries of what bioinspired machines can achieve.