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About

Jonathan Audet is a robotics researcher whose work sits at the compelling intersection of autonomous systems, artificial emotion, and social robotics. His most influential contribution, "Artificial Emotion and Social Robotics" (2000), has garnered 39 citations and laid foundational groundwork for understanding how emotionally-driven architectures can enhance human-robot interaction. Building on this, Audet explored how artificial emotions and motivational systems could enable robots to sustain long-term autonomous operation — a practically critical challenge addressed in his 2001 papers on motive-driven recharging behaviors, which collectively accumulated 25 citations. These works tackled the difficult problem of enabling robots to make intelligent decisions about energy management, essentially giving machines a rudimentary form of self-preservation instinct. His research extended to multi-robot systems, investigating how groups of autonomous robots might coordinate using similar emotional frameworks. A notable applied achievement came with his 2003 AAAI Mobile Robot Challenge entry, where he integrated symbol recognition and artificial emotion into a conference-attending robot, demonstrating real-world viability of his theoretical models. Audet's body of work represents an early and thoughtful contribution to emotionally intelligent autonomous robotics.