Alex Jordan

Papers

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About

Dr. Alex Jordan is a researcher at the intersection of robotics, artificial intelligence, and public engagement with science. Their work spans two distinct but complementary domains: developing practical algorithms for autonomous navigation and investigating how the public understands and ethically evaluates emerging robotic technologies. Jordan’s most cited paper, “Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm” (2016, 6 citations), introduces a novel approach that combines fuzzy logic with the D*lite algorithm to enable robots to replan paths efficiently and smoothly in dynamic, partially unknown environments—a significant contribution to field robotics. More recently, Jordan has turned their attention to science communication and public understanding, co-curating the ‘Born or Built? — Our Robotic Future’ exhibition. Their 2022 study, “‘Born or Built?’ Exploring visitor understandings of robotics” (2 citations), analyzes how this interactive exhibition encourages visitors to grapple with the ethical and social dimensions of human-robot relationships, inviting them to post questions and reflect on what it means to create intelligent machines. This work demonstrates Jordan’s commitment to bridging technical innovation with meaningful public dialogue.