Marco Alonso

Papers

Total Citations

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About

Marco Alonso is a leading researcher in domain-specific languages (DSLs) and human-robot interaction, with a focus on control systems for medical devices. His most cited work, "Industrial experiences with the evolution of a DSL" (2021, 8 citations), provides critical insights into the co-evolution of DSLs with their application domains, drawn from his work at Philips IGT on interventional X-ray systems. This paper is a key reference for practitioners managing the lifecycle of industrial DSLs. More recently, Alonso has advanced the field of shared control with "A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers" (2024, 4 citations), where he introduces a novel framework for tuning Model Predictive Control (MPC) problems. This work integrates performance metrics and user input representation for simulation-based optimization, offering a systematic approach to improving human-machine collaboration. His research bridges the gap between theoretical control methods and practical industrial deployment, making him a notable figure in the intersection of software engineering and robotics.