Meirav Sela

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About

Meirav Sela is a robotics researcher whose work has made meaningful contributions to the field of autonomous robot motion planning, with a particular focus on the interception of moving and maneuvering objects. Drawing from guidance and navigation theory traditionally applied in aerospace and missile systems, Sela pioneered the adaptation of **proportional navigation guidance (PNG)** techniques for robotic applications — a creative cross-disciplinary innovation that opened new avenues for real-time robot trajectory planning and control. Her most recognized contribution is the development of hybrid motion-planning frameworks that combine navigation-based guidance methods, specifically Ideal Proportional Navigation Guidance (IPNG), with conventional trajectory tracking strategies. This two-phase approach enables robots to intercept fast-maneuvering targets online, without requiring pre-planned paths — a significant practical advancement for dynamic environments. Her 1999 paper on this topic has accumulated 23 citations, with subsequent works in 2000 and 2003 further refining and extending the methodology, together amassing nearly 50 citations across the series. Sela's research is particularly valuable for students exploring robotics, autonomous systems, and human-robot interaction in unpredictable settings, offering elegant solutions that bridge classical guidance theory with modern robotic control.