Romain Michalec

Maison de la Simulation, University of Strathclyde

Papers

Total Citations

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About

Romain Michalec’s research lies at the intersection of robotics, multi-sensor data fusion, and autonomous systems, with a particular focus on space applications. His most significant contributions include pioneering work on stiffness modeling for multi-fingered robotic grasping with rolling contacts, which addresses the complex elastic behavior of objects manipulated by robot hands—a foundational challenge in dexterous manipulation. However, his most impactful achievement is the development of the Common Data Fusion Framework (CDFF), an open-source software architecture that standardizes how autonomous space systems—from orbital servicing satellites to planetary rovers—integrate and contextualize data from diverse sensors. This framework, detailed in multiple publications (2018–2020), provides a modular, reusable solution for environment mapping, object modeling, and position estimation, filling a critical gap in the space robotics community. With a growing citation record (over 19 citations across his top papers), Michalec’s work directly enables more reliable situational awareness and decision-making in autonomous space vehicles. His contributions are particularly notable for bridging theoretical modeling with practical, open-source tools, making advanced data fusion accessible to researchers and engineers advancing space exploration and robotics.