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About

Marcel Schlandt is a pioneering researcher in construction robotics, specializing in the development of automated systems for on-site building tasks. His work focuses on two key areas: single-task construction robots (STCRs) and cable-driven parallel robots for high-risk installation processes. Schlandt’s major contribution is a systematic technology management system for designing STCRs, addressing the global surge in demand for physical-mechanical robots that can execute complex construction jobs. His 2019 paper on this framework has garnered 41 citations, underscoring its influence in guiding development projects toward efficient, real-world deployment. In a notable 2020 study (23 citations), Schlandt introduced a cable-driven parallel robot with a modular end effector for installing curtain wall modules—heavy prefabricated walls traditionally lifted by cranes in dangerous, weather-exposed conditions. This innovation enhances stability and safety during positioning, reducing risks to workers and damage to materials. By bridging robotics and construction engineering, Schlandt’s work is shaping a future where automation tackles the industry’s most hazardous tasks, offering students and researchers a blueprint for integrating intelligent machines into the built environment.