Akanimoh Adeleye

Papers

Total Citations

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About

Akanimoh Adeleye is a leading researcher in human–robot interaction (HRI), with a focus on how people perceive and respond to robot errors during close, goal-directed joint action. His most-cited work, “Robot Errors in Proximate HRI” (2020, 58 citations), investigates how expectations for robot functionality shape human reactions to mistakes, offering critical insights for designing more resilient and socially acceptable robotic systems. Adeleye’s contributions lie at the intersection of cognitive science and robotics, advancing our understanding of trust, error recovery, and collaboration in shared physical spaces. His research has direct implications for service robots, assistive technologies, and autonomous systems that operate alongside humans. By systematically examining the psychological and behavioral impacts of robot errors, Adeleye provides a framework for improving human-robot teamwork. His work is widely cited by scholars in HRI, cognitive engineering, and human factors, reflecting its foundational role in a rapidly evolving field. Adeleye continues to shape how researchers and engineers approach the challenge of building robots that can gracefully handle mistakes in real-world interactions.