By Roberto A. Flores, Robert C. Kremer (auth.), Ahmed Y. Tawfik, Scott D. Goodwin (eds.)
This e-book constitutes the refereed court cases of the seventeenth convention of the Canadian Society for Computational stories of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in could 2004.
The 29 revised complete papers and 22 revised brief papers have been conscientiously reviewed and chosen from one hundred and five submissions. those papers are provided including the prolonged abstracts of 14 contributions to the graduate scholars' tune. the total papers are equipped in topical sections on brokers, normal language processing, studying, constraint pride and seek, wisdom illustration and reasoning, uncertainty, and neural networks.
Read or Download Advances in Artificial Intelligence: 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004. Proceedings PDF
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Additional resources for Advances in Artificial Intelligence: 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004. Proceedings
However, the agent is able to distinguish certain objects (landmarks) in the environment uniquely using its sensors, and has limited ability for tracking such objects, which is used by the intervention recognition system to support the identification of a lost or confused agent. The agent remembers how many times it has sensed a landmark and how much time has elapsed since the last time it has sensed the same landmark. The intervention recognition system uses this information to determine when an agent has returned to the same location too often or when an agents has returned to the same location too many times in a specified period of time.
This consists of three sets of facilities. First, a schema-based  autonomous control system for navigation and mapping that allows agents to perform autonomously (subject to the associated limitations that a domain as difficult as this one places). Second, support for direct teleoperation, including a joystick-based interface as well as the ability to control agents at a higher level by setting waypoints. Finally, facilities for blending autonomy and teleoperation appropriately. g. g. potential victim found) situations in which the operator should be interrupted.
First, on real robots, perfect localization is no longer a simple assumption. Odometry on real robots is likely to have at least some noise, and that noise will be cumulative. The application of vision and other sensor technology would have to be employed in order to have useful localization. Another assumption that has to be dealt with is the increase in sensor noise and environment complexity. Vision in particular will be a challenging problem in a real robot compared to a simulated one, and a more sophisticated method for handling errors will have to be developed.