Trip planning and in-vehicle navigation are crucial tasks for easier and safer driving. The existing navigation systems are based on machine intelligence without allowing human kn...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...
We present the development of and experiment with a robot system showing cognitive capabilities of children of three to four years. We focus on two topics: assembly by two hands a...
To realize large-scale socially embedded multiagent systems, this paper proposes a new system design methodology towards society-centered design. We have already developed the scen...