A team of computer science and engineering researchers has built a robot hand that can not only perform dexterous manipulation but also learn from its own experience without needing humans to direct it.
In a newly published scan of the literature, an expert concludes that the time is ripe for human factors researchers to contribute scientific insights that can tackle the many challenges of human-robot interaction.
A collaborative research team has found humanoid robotics and computer avatars could help rehabilitate people suffering from social disorders such as schizophrenia or social phobia. It is thanks to the theory of similarity, which suggests that it is easier to interact socially with someone who looks, behaves or moves like us.
An amputee was able to feel smoothness and roughness in real-time with an artificial fingertip that was surgically connected to nerves in his upper arm. Moreover, the nerves of non-amputees can also be stimulated to feel roughness, without the need of surgery, meaning that prosthetic touch for amputees can now be developed and safely tested on intact individuals.
Artificial intelligence technique Quixote teaches 'value alignment' to robots by training them to read stories, learn acceptable sequences of events and understand successful ways to behave in human societies.