The day is not far when you would be able to keep a robot pet that can mimic the behaviour of real ones, for researchers in Taiwan have come closer to developing a robot vision module that might one-day recognize human facial expressions and respond appropriately.
Users expect their robot pets to be almost as good as the "robots" they see in 3D movies and games. The researchers have now turned to neural networks to help them break the cycle repetitive behaviour in robot toys and to endow them with almost emotional responses to interactions.
The team explained there are three major issues to considered in robot design. The first is to construct an appropriate control architecture by which the robot can behave coherently. The second is to develop natural ways for the robot to interact with a person. The third is to embed emotional responses and behavior into the robot's computer.
The researchers hope to address all three issues by adopting an approach to behaviour-based architecture - using a neural network - that could allow the owner of a robot pet to reconfigure the device to "learn", or
revolve new behaviour and at the same time ensure that the robot pet functions properly in real time.
The technique is not yet fully mature, but ultimately they hope to be able to build a robot pet that could recognize its owner's facial expressions and perhaps respond accordingly. Such a development has major implications for interactive devices, computers and functional robots of the future. 
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