Max Robotics — Global Service Robot Directory + US Certification

About

Ivo Malakov specializes in the optimal design and automation of industrial robotic systems, with a particular focus on die casting and sprayer robot applications. His research centers on developing computational methods for selecting optimal structural variants of robots and size ranges of pneumatically actuated linear modules, bridging the gap between theoretical optimization and practical manufacturing needs. His most cited work, "Computer-Aided Choosing of an Optimal Structural Variant of a Robot for Extracting Castings from Die Casting Machines" (2023, 6 citations), introduces a systematic framework for analyzing extraction processes and defining functional requirements. Malakov’s earlier foundational paper, "CAD Optimal Design, Documentation and Automated Assembly of Mechanical Product" (2012, 4 citations), established criteria for automated assembly and trajectory determination. His sensitivity analysis in "Determining the Influence of Model Parameters on the Choosing of an Optimal Size Range of Pneumatically Actuated Linear Modules for Sprayer Robots" (2022, 4 citations) demonstrates his rigorous approach to parameter optimization. With a career spanning over a decade, Malakov’s work directly impacts the efficiency and precision of automated manufacturing systems, offering engineers practical tools for robot selection and module sizing in industrial settings.