Qi-Lun Goh

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About

Qi-Lun Goh is a rising innovator at the intersection of soft robotics, self-powered systems, and sustainable materials. His research centers on developing intelligent, muscle-mimetic robotic grippers that integrate artificial intelligence and energy autonomy, addressing critical limitations in traditional rigid manipulators. Goh’s most cited work introduces an AI-assisted, self-powered smart robotic gripper based on eco-friendly eutectic gallium-indium (EGaIn) nanocomposites, designed for precise pick-and-place operations. This contribution tackles the longstanding challenge of control feedback in soft grippers—specifically, the inability to detect slipping or maintain accurate positioning during grasping. By leveraging the high compliance and muscle-like properties of the nanocomposite, his gripper achieves enhanced sensing and actuation without external power sources. With 31 citations since 2022, this paper has quickly gained traction, reflecting its significance in advancing sustainable robotics. Goh’s work exemplifies a shift toward greener, smarter automation, merging material science with AI for real-time adaptive control. His achievements position him as a key contributor to next-generation robotic systems, promising safer and more efficient human-robot interaction in industrial and assistive applications.