William Toh
Papers
2
Total Citations
104
H-Index
2
About
William Toh is a leading researcher at the intersection of soft robotics and advanced manufacturing, with a primary focus on developing intelligent, adaptive grippers for industrial automation. His most notable contribution is the development of a 3D printing-enabled, artificially innervated smart soft gripper with variable joint stiffness, a breakthrough work that has garnered 92 citations since 2023. This innovation addresses the critical challenge of balancing shape compliance, structural rigidity, weight, and sensor integration in robotic grippers, enabling safer handling of fragile and irregular objects. Toh further advanced the field by pioneering a numerical modeling and machine learning approach for joint angle prediction in cable-driven grippers, demonstrating how data-driven methods can overcome the complexities of soft, variable-stiffness systems. His work is distinguished by its practical, manufacturing-oriented perspective, directly targeting real-world limitations in automation. By integrating additive manufacturing with bio-inspired sensing and variable stiffness mechanisms, Toh has established himself as a key figure in the next generation of soft robotics, offering scalable solutions that promise to transform how robots interact with delicate and unpredictable environments.
Research Focus
Key Achievements
Top Papers
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