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About

Garrison W. Cottrell is a pioneering figure in computational cognitive science and computer vision, best known for his foundational work on visual attention, face perception, and biologically inspired robotics. His research bridges artificial intelligence and human cognition, exploring how machines can replicate the nuanced ways humans process visual information. Cottrell’s most influential work includes a highly cited 2008 study on visual saliency models for robot cameras (84 citations), which provides mechanisms for autonomous systems to orient their sensors toward salient features in unstructured environments—a critical advance for robotic navigation and scene understanding. He also developed Gamma-SLAM, a stereo visual simultaneous localization and mapping algorithm that enables robust mapping in unstructured terrains, contributing to the DARPA LAGR program. More recently, Cottrell has focused on the social dimensions of face perception, modeling how humans make complex inferences about gender, trustworthiness, and attractiveness from facial cues. His 2017 work on learning to see faces like humans (12 citations) and related studies demonstrate how deep learning can capture both objective and subjective facial judgments. A longtime organizer of the Cognitive Science Society conferences, Cottrell’s interdisciplinary approach continues to shape how AI systems perceive and interact with the world.