Eduardo Owen

Universidad del Valle, Universidad de Zaragoza

Papers

Total Citations

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About

Eduardo Owen is a robotics researcher whose work has made significant contributions to the field of autonomous robot navigation, particularly in dynamic and complex environments. His research focuses on motion planning algorithms that enable robots to safely navigate spaces populated by both static and moving obstacles — a fundamental challenge in real-world robotics applications. Owen's most influential contribution is his development of velocity space-based motion planning methods, introduced in his 2005 paper "Motion Planning in Dynamic Environments Using the Velocity Space," which has garnered 49 citations. This pioneering work introduced the concept of mapping dynamic environments into a velocity space using estimated arrival times to predict and avoid potential collisions. He extended this framework in 2006 with a robocentric formulation, accumulating an additional 30 citations, refining the approach to optimize robot decision-making from the robot's own reference frame. More recently, Owen continued advancing this research paradigm in his 2018 work on model-based robocentric planning for differential-drive robots, earning 19 citations. This evolution of his earlier ideas demonstrates a sustained, deepening research trajectory. Collectively, his work has shaped how autonomous systems perceive and respond to dynamic surroundings, making him a notable contributor to mobile robotics and intelligent navigation research.