A study from the University of Surrey reveals a novel simulation method that enables researchers to train social robots interactively without needing human participants. This advancement aims to streamline and scale up robot training, showcased through a humanoid robot capable of mimicking human eye movements in social contexts. The research demonstrated robustness in real-world environments, holding potential for applications in fields like education and healthcare, emphasizing the robots' ability to interact seamlessly with humans.
Dr Di Fu, co-lead of the study and lecturer in Cognitive Neuroscience at the University of Surrey, stated that their method allows testing robots' attention without human supervision.
The simulation method allows researchers to evaluate social robot interactions more efficiently, demonstrating that humanoid robots can replicate human eye movements in various environments.
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