Masayoshi Abe

Papers

Total Citations

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About

Masayoshi Abe is a researcher whose work centers on the practical automation of robotic manipulation, with a particular focus on pick-and-place operations using vacuum grippers. His most cited contribution, "A practical simulation method for pick-and-place with vacuum gripper" (2017, 7 citations), introduces a simulation framework that models the physical behavior of suction-cup grippers to streamline the tuning of robotic motions for industrial tasks. This work addresses a critical gap in automation by enabling engineers to predict and optimize pick-and-place performance without costly physical trials. Abe’s approach combines a model for estimating suction dynamics with practical simulation elements, making it accessible for real-world applications. While his citation count reflects a specialized niche, his research has direct implications for manufacturing efficiency, particularly in electronics assembly and packaging industries. Abe’s contributions exemplify how targeted simulation methods can bridge the gap between theoretical robotics and industrial deployment, offering a pragmatic tool for engineers seeking to reduce setup time and improve reliability in automated handling systems.