New PDF release: Autonomous Robotic Systems: Soft Computing and Hard
By J. Mira, A. E. Delgado (auth.), Prof. Dr. Changjiu Zhou, Prof. Dr. Darío Maravall, Dr. Dr. h.c. Da Ruan (eds.)
This booklet includes an edited number of eighteen contributions on tender and tough computing ideas and their functions to independent robot platforms. every one contribution has been completely written for this quantity by way of a number one researcher. the quantity demonstrates a number of the ways in which the smooth computing and tough computing thoughts can be utilized in several built-in manners to higher strengthen self reliant robot structures that may practice a number of projects of imaginative and prescient, notion, cognition, considering, trend reputation, decision-making, and reasoning and regulate, among others. every one bankruptcy of the ebook is self-contained and issues out the longer term path of analysis.
"It is a needs to interpreting for college kids and researchers attracted to exploring the potentials of the interesting box that might shape the foundation for the layout of the clever machines of the longer term"
(Madan M. Gupta)
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Additional resources for Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications
For instance, in radar type application, we may have fusion node for radar data and another fusion node for infrared type data, and then another node combines the result of the two nodes. Further, we may also distinguish hierarchy with feedback or without feedback depending on whether the low level is allowed to revise its knowledge in the light of the result at higher levels. The hierarchical architecture without feedback can easily be converted into a singly connected information graph by using tracklets or restarting at high level.
Another important issue is the partitioning of the sources into multiple sets; that is, with whom each node is going to communicate to? This issue is mainly context dependent even if some feasibility study can be carried out beforehand. However, in a fully distributed architecture, which is unfortunately less mature area of research even if it appears to be very promising for future autonomous systems, each node can communicate to any other nodes depending on the information content, the needs of individual (intelligent) agents and subject to connectivity constraints [38,39].
38 information and dealing with complementary information. We then survey how the different soft computing techniques may contribute to the fusion process at various stages. Section 3 presents an example of treatment of serial and parallel systems based on both probability and possibility theories and shows the feasibility and advantages of one of the soft based approach. Section 4 describes how a fusion-based approach can be applied for absolute localization of a mobile robot in a structured environment while reasoning in the framework of a possibility theory.
Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications by J. Mira, A. E. Delgado (auth.), Prof. Dr. Changjiu Zhou, Prof. Dr. Darío Maravall, Dr. Dr. h.c. Da Ruan (eds.)