Papers
5
Total Citations
426
H-Index
5
About
Brandon Luders is a leading researcher in autonomous robotics, specializing in safe motion planning and human-robot collaboration. His most influential work, "Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns" (2013, 287 citations), introduced a groundbreaking real-time path planning algorithm that guarantees probabilistic feasibility for robots navigating dynamic, uncertain environments—a critical advancement for real-world deployment. Luders is perhaps best known for spearheading the development of a multi-ton, voice-commandable robotic forklift designed to operate safely alongside humans in minimally-prepared, unstructured outdoor settings. This work, detailed in papers from 2010 (66 citations) and 2014 (47 citations), directly addressed the long-standing challenge of creating autonomous machines accepted in human workplaces. His contributions extend to decentralized, information-rich planning for multi-vehicle teams, enhancing sensor fusion and uncertainty reduction in complex human-robot missions (2011, 10 citations). By integrating probabilistic safety guarantees with practical, human-aware systems, Luders has significantly advanced the frontier of autonomous navigation, bridging theoretical rigor with tangible, real-world impact.
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