A.G. Huizing

Netherlands Organisation for Applied Scientific Research

Papers

Total Citations

H-Index

About

Dr. A.G. Huizing is a leading researcher in intelligent autonomous systems, with a focus on enhancing the reliability and ethical deployment of robotic platforms. Their work centers on developing AI-driven frameworks for unmanned aerial, ground, surface, and underwater vehicles, aiming to reduce human burden in dangerous or tedious tasks. A key contribution is the concept of "meaningful human control," which integrates an extendable knowledge base into autonomous decision-making, ensuring that machines operate within safe, human-defined boundaries. Huizing’s research also pioneers "robotic self-assessment of competence," addressing a critical flaw in AI: the tendency of deep learning models to be overconfident in unfamiliar environments. By enabling robots to evaluate their own limitations, this work enhances trust and safety in real-world applications, from military operations to disaster response. With highly cited papers like "Intelligent autonomous vehicles with an extendable knowledge base and meaningful human control" (8 citations) and "Robotic Self-Assessment of Competence" (6 citations), Huizing’s impact is evident in advancing the field toward more transparent, accountable, and robust autonomous systems. Their research is essential for students and engineers seeking to build AI that is both capable and conscientious.