Tim Whiting

Papers

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About

Tim Whiting is a leading researcher in autonomous robotics and human-robot interaction, with a focus on enabling robots to understand and communicate their own limitations. His work centers on the critical concept of robot self-assessment—designing systems that can evaluate their own proficiency before, during, and after task execution. Whiting’s most cited paper, “Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking” (2023, 19 citations), introduces a novel framework for robots to monitor their performance against task standards, a breakthrough for safe and reliable autonomy. His related work, “A Method for Designing Autonomous Robots that Know Their Limits” (2022, 19 citations), further develops this theme, providing a blueprint for robots that can transparently communicate their capabilities and constraints. In “Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior” (2020, 12 citations), Whiting explores the psychological and technical challenges of human-robot teamwork, using strategic resource-sharing experiments to reveal how machines can balance risk and efficiency. With over 50 citations across his key publications, Whiting’s research is pivotal for advancing trustworthy, self-aware robots that can collaborate effectively with humans in real-world settings.