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About

Marc Hesse is a robotics researcher whose work centers on real-time systems, modular architectures, and socially intelligent human-robot interaction. He has made significant contributions to accessible robotics education and benchmarking, notably through the development of AMiRo, a mini robot designed as a versatile teaching platform (9 citations). Hesse also advanced cost-effective experimental evaluation by creating a fiducial marker-based extrinsic camera calibration system for robot benchmarking, offering an economical alternative to expensive motion capture systems (7 citations). His research extends to affective computing and ethics, as demonstrated by the CASIE project, which endows robots with multilingual emotion recognition and trustworthy decision-making for healthcare applications (6 citations). Hesse has further pioneered lightweight real-time middleware with µRT, integrating validation of timing constraints for resource-constrained robotic systems (3 citations), and proposed a generic architecture for modular real-time systems in robotics (2 citations). Through these innovations, Hesse has established himself as a key figure in making robotics more affordable, educationally accessible, and socially aware, with a clear focus on bridging the gap between low-level control and high-level social intelligence.