G. Hexner

University of Toronto, Rafael Advanced Defense Systems (Israel)

Papers

Total Citations

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About

G. Hexner is a researcher whose work lies at the intersection of robotics, motion planning, and aerospace engineering, with a particular focus on the interception of moving targets. His most significant contribution is the development of a prediction-based strategy for robotic interception, detailed in his 2002 paper (12 citations), which integrates a prediction module with robot motion planning to enable grasping of moving objects. This work, while modest in citation count, represents an early and systematic approach to a challenging problem in robotics. Hexner’s foundational 1994 paper on near-time-optimal planning for robotic interception (2 citations) further established his expertise in this niche area. More recently, he has extended his research to aerospace applications, co-authoring a 2022 study on three-dimensional paths under curvature constraints for short-range scenarios (1 citation), demonstrating continued relevance in trajectory optimization. Though his citation impact is limited, Hexner’s work is notable for its technical rigor and practical orientation, offering valuable insights for students and researchers interested in real-time motion planning, predictive algorithms, and the intersection of robotics and aerospace dynamics.