Marcus Gemeinder
Papers
3
Total Citations
100
H-Index
3
About
Marcus Gemeinder is a researcher whose work lies at the intersection of computational intelligence and mobile robotics, with a primary focus on path planning and optimization. His most significant contribution is the development of a genetic algorithm (GA)-based path planning framework that incorporates an active search algorithm, enabling mobile robot systems to navigate complex environments more efficiently. This foundational work, published in 2003, has garnered 87 citations, underscoring its lasting impact on the field. Gemeinder’s research extends to energy-efficient navigation, where he explored GA-based methods for minimizing energy consumption during robot traversal—a critical consideration for autonomous systems operating in resource-constrained settings. His earlier studies, including a 2002 paper on active search algorithms and a 2001 investigation into energy-aware path planning, laid the groundwork for more adaptive and robust robotic navigation. By integrating evolutionary computation with real-time search strategies, Gemeinder has advanced the practical deployment of mobile robots in applications ranging from industrial automation to search-and-rescue missions. His work remains a touchstone for researchers seeking to balance computational efficiency with operational effectiveness in autonomous systems.
Research Focus
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