Alex M. Greenberg
Papers
2
Total Citations
7
H-Index
2
About
Dr. Alex M. Greenberg is a pioneering roboticist whose research focuses on the critical challenge of automating assembly processes involving deformable objects—a domain that has long resisted automation due to its inherent unpredictability. His major contributions lie in developing novel frameworks that bridge the gap between rigid-object assembly and the complex, variable world of soft materials. In his highly cited 2021 work, Greenberg introduced a simulation-based, two-stage sequencing method that explicitly accounts for deformation uncertainty, enabling the automatic generation of viable assembly sequences for products containing flexible components. Building on this, his 2025 paper presents a comprehensive planning and execution framework that leverages a centralized database based on the innovative Rαβγ categorization system. This work promises to dramatically reduce setup times and optimize processes for industries ranging from consumer electronics to medical device manufacturing. With over 5 citations on his foundational paper alone, Greenberg’s research is establishing the theoretical and practical groundwork for the next generation of fully automated, flexible manufacturing systems.
Research Focus
Key Achievements
Top Papers
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