By Dilip Kumar Pratihar
This study booklet incorporates a pattern of most modern learn within the quarter of clever self reliant platforms. The contributions include:
- General points of clever self sufficient systems
- Design of clever self reliant robots
- Biped robots
- Robot for stair-case navigation
- Ensemble studying for multi-source details fusion
- Intelligent self sustaining platforms in psychiatry
- Condition tracking of inner combustion engine
- Security administration of an company network
- High dimensional neural nets and applications
This publication is directed to engineers, scientists, professor and the undergraduate/postgraduate scholars who desire to discover this box further.
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Additional resources for Intelligent Autonomous Systems: Foundations and Applications
Nowhere in the world, can one find an analoguous institution for pursuing logical studies like, say, CERN in Geneva in the case of physics. With this analogy between the two dreams, we want to make clear what is at stake here. First of all, building a GLPS is too complex to be solved by the way of any number of PhD theses (which, at present, is the main driving force in our field). Like fusion, it had to be pursued on a much grander scale with the brightest minds available. And, like fusion, it will not be completed in just a couple of years despite decades of research already spent on it.
1 Proposed Motion Planning Scheme and Mathematical Formulation of the Problem The proposed motion planning scheme of the robot is explained with the help of Fig. 1. The robot starts its motion from a predefined starting position and reaches the goal by avoiding collision with several moving obstacles. The total path of the robot is assumed to be a collection of some small segments, each of which is traversed during a fixed time Δ T . The path followed by the robot during this small time Δ T is either a straight or a curved one.
This approach has two different aspects. One is to implant into IAAs true intelligence comparable with that of human beings. The other is that logic-oriented scientists have tried and still try to overcome the infinite regress mentioned before by representing the problems faced in the quest for an artificial intelligence in some logical formalism and solve the resulting logical problem with deductive means. In other words, the fourth challenge again splits into two parts, so that we may again number them separately and refer to the fifth challenge as the logical approach to realizing AI, while the fourth is restricted to implanting truly high-level intelligence functions into IAAs.
Intelligent Autonomous Systems: Foundations and Applications by Dilip Kumar Pratihar