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About

Luan Lang is an emerging researcher at the intersection of soft robotics, computer vision, and advanced manufacturing, with a focus on developing intelligent systems for industrial and agricultural applications. Their work centers on designing and optimizing soft robotic grippers — particularly those inspired by the Fin Ray Effect — capable of handling delicate objects such as fruits and vegetables without causing damage. Lang's research integrates computational simulation, experimental validation, and additive manufacturing to bridge the gap between theoretical design and real-world performance. A particularly notable contribution involves combining computer vision with collaborative robotics to create non-destructive fruit quality control systems, demonstrating a practical pathway toward automating food processing pipelines. Complementing this, Lang has conducted rigorous mechanical characterization of flexible materials such as TPU 60A, establishing critical data for optimizing soft gripper fabrication through 3D printing. With a growing citation profile — including 12 citations for their computer vision case study and 8 citations each for their soft robotic finger and materials characterization work — Lang is rapidly establishing credibility within the robotics and smart manufacturing communities. Their interdisciplinary approach makes their research highly relevant for students interested in automation, human-robot collaboration, and sustainable food technology.