Teng Yong Ng

Papers

Total Citations

104

H-Index

About

Dr. Teng Yong Ng is a pioneering researcher at the intersection of soft robotics and advanced manufacturing, with a core focus on developing intelligent, adaptive grippers for automation. His major contributions lie in overcoming the fundamental trade-off between compliance and rigidity in soft robotic systems. In his highly cited 2023 work (92 citations), Dr. Ng introduced a 3D printing-enabled "artificially innervated" smart soft gripper that achieves variable joint stiffness—a breakthrough that allows a single gripper to delicately handle fragile objects while also providing the structural rigidity needed for precise manipulation. This work elegantly integrates sensor capabilities directly into the printed structure, addressing critical challenges in weight and sensor integration. More recently, Dr. Ng has advanced the field by combining numerical modeling with machine learning to predict joint angles in cable-driven grippers, enabling more accurate control of these complex, compliant systems. His research is not only pushing the boundaries of soft robotics but also providing practical, manufacturable solutions for industrial automation, making him a leading voice in the next generation of robotic end-effectors.