Published by Advanced Robotics
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Artificial intelligence has been rapidly gaining attention for this decade. In the current trends, artificial intelligence mainly means machine learning techniques including neural networks, i.e., deep learning, and probabilistic generative models, i.e., Bayesian models. Robotics is clearly the representative of the targets of the application of artificial intelligence. Robots need to deal with uncertainty in the real world and learn knowledge from the daily environment including human users. Machine learning methods enable robots adapt to the real-world environment by dealing with uncertainty in a statistical manner. The application field of artificial intelligence in robotics ranges from manipulation, mapping and language acquisition. This special issue compiles a broad range of studies related to artificial intelligence in advanced robotics.
It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology featuring papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots.