Marisa Lim

Papers

Total Citations

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About

Marisa Lim is a rising leader in soft robotics and intelligent manufacturing, whose work bridges simulation-driven design and adaptive grasping systems. Her primary research focuses on reconfigurable soft gripper systems, where she addresses a critical bottleneck in the field: the reliance on trial-and-error for actuator and gripper design. In her most-cited work, "Simulation Data Driven Design Optimization for Reconfigurable Soft Gripper System" (2022, 18 citations), Lim pioneers a data-driven optimization framework that replaces empirical guesswork with systematic performance modeling. This approach enables the automated tuning of key parameters—such as gripping width and finger actuator geometry—to achieve optimal grasping performance for a given task. By integrating simulation data with design optimization, her work significantly reduces development time and enhances the adaptability of soft grippers across diverse objects and environments. Lim’s contributions are particularly impactful for industries requiring flexible automation, from logistics to healthcare. Her research not only advances the theoretical understanding of soft actuator mechanics but also provides practical, scalable tools for next-generation robotic manipulation. With growing recognition in the soft robotics community, Marisa Lim is shaping a future where robots grasp with precision, not guesswork.