Michael Goerlich

Hochschule Bielefeld, Bielefeld University

Papers

Total Citations

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About

Michael Goerlich is a robotics researcher whose work centers on human-robot interaction and model-driven software development for robotic systems. His primary contributions lie in designing socially assistive robots that can effectively communicate and engage with humans, particularly through non-verbal cues like deictic references—pointing gestures that guide attention. In his most-cited work, "A framework for designing socially assistive robot interactions" (2016, 18 citations), Goerlich provides a structured approach for creating robots that offer social support in contexts such as healthcare or education. He further advances the field by addressing the technical challenges of building complex robotic systems, proposing a modularization strategy for domain-specific languages in his 2017 paper (4 citations). This work enables extensible, component-based architectures that streamline integration of diverse software artifacts. Goerlich also explores engagement detection, a critical capability for natural interaction, in his 2016 study (3 citations). His research bridges the gap between high-level interaction design and low-level software engineering, making him a notable contributor to the development of more intuitive and capable robotic companions.