Lucas Muster

University of Applied Sciences Technikum Wien

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About

Lucas Muster is a leading researcher in mobile robotics, with a focus on achieving full autonomy in navigation and manipulation for real-world applications. His work addresses critical challenges in industrial automation, search and rescue (SAR), and urban interaction, where robots must operate reliably in unstructured environments. Muster’s most cited paper, “Towards full autonomy in mobile robot navigation and manipulation” (2024), synthesizes practical insights from deployments across these domains, demonstrating how integrated systems can handle complex tasks without human intervention. This work has already garnered 5 citations, reflecting its timely relevance. Beyond this, Muster’s contributions emphasize bridging the gap between theoretical autonomy and robust field performance, offering frameworks that prioritize adaptability and safety. His research is notable for its hands-on approach, drawing from real-world trials to refine algorithms for perception, planning, and control. For students and researchers, Muster’s work provides a roadmap for building mobile robots that can navigate and manipulate objects in dynamic settings—a cornerstone for next-generation autonomous systems.