Download PDF by Srikanta Patnaik: Robot Cognition and Navigation: An Experiment with Mobile

By Srikanta Patnaik

ISBN-10: 3540234462

ISBN-13: 9783540234463

This e-book offers the idea that of cognition in a transparent, lucid and hugely complete type. It offers an in-depth research of mathematical versions and algorithms, and demonstrates their software with genuine lifestyles experiments.

Show description

Read Online or Download Robot Cognition and Navigation: An Experiment with Mobile Robots (Cognitive Technologies) PDF

Similar computer simulation books

Download PDF by Joshua M. Epstein: Agent_Zero: Toward Neurocognitive Foundations for Generative

During this pioneering synthesis, Joshua Epstein introduces a brand new theoretical entity: Agent_Zero. This software program person, or "agent," is endowed with precise emotional/affective, cognitive/deliberative, and social modules. Grounded in modern neuroscience, those inner parts engage to generate saw, usually far-from-rational, person habit.

Download PDF by Danny Weyns, Visit Amazon's H. Van Dyke Parunak Page, search: Environments for Multi-Agent Systems III: Third

This publication constitutes the completely refereed post-proceedings of the 3rd foreign Workshop on Environments for Multiagent structures, E4MAS 2006, held in Hakodate, Japan in could 2006 as an linked occasion of AAMAS 2006, the fifth foreign Joint convention on self sufficient brokers and Multiagent structures.

Get Energy Efficient Data Centers: Third International Workshop, PDF

This e-book constitutes the completely refereed post-conference complaints of the 3rd overseas Workshop on strength effective facts facilities, E2DC 2014, held in Cambridge, united kingdom, in June 2014. the ten revised complete papers offered have been conscientiously chosen from a variety of submissions. they're prepared in 3 topical sections named: strength optimization algorithms and types, the longer term function of information centres in Europe and effort potency metrics for facts centres.

Download e-book for iPad: Context-Enhanced Information Fusion: Boosting Real-World by Lauro Snidaro, Jesús García, James Llinas, Erik Blasch

This article reports the elemental thought and most recent equipment for together with contextual details in fusion technique layout and implementation. Chapters are contributed via the most important overseas specialists, spanning a number of advancements and purposes. The e-book highlights excessive- and low-level details fusion difficulties, functionality evaluate below hugely hard stipulations, and layout ideas.

Extra resources for Robot Cognition and Navigation: An Experiment with Mobile Robots (Cognitive Technologies)

Sample text

Proof: The algorithm never generates a node corresponding to a point in a free space, as the algorithm visits the boundaries of the obstacles only, but not any free space. Hence the proof is obvious. 3 An Illustration of Procedure Traverse Boundary This example illustrates how a robot moves around an obstacle by utilizing the procedure Traverse Boundary. Consider the rectangular obstacle and robot (encircled R) on the north side of the obstacle (shown in Fig. 4). Let the robot’s initial coordinates be x = 75, y = 48 (measured in 2D screen pixels).

Node status = 1 = BLACK; If node is an obstacle node. Node status = 2 = GRAY; If node is a mixed node. The four boundaries of a node’s square region are called N, E, S, and W for the north, east, south and west directions, respectively. The following predicates and functions are defined below, which will be used in the subsequent algorithm. (i) ADJ( B, I ) is true if and only if the quadrant I is adjacent to the boundary B of the node’s block. For instance, ADJ(W,NW) = TRUE and ADJ(W,NE) = FALSE.

Predicate relations used in the neighbor finding algorithms Algorithm GTEQUAL_ADJ_NEIGHBOR ( P,D ) Locate a neighbor of a node P in the horizontal or vertical direction D. If such a Node does not exist, then return NULL. 4 Neighbor-Finding Algorithms for the Quadtree 51 /* follow the reflected path to locate the neighbor */ return (if (not NULL (Q) and node_status(q)=GRAY) Then SON(Q,REFLECT (D,SONTYPE(P))) Else Q End. This algorithm will return a neighbor of greater or equal size. This is done by finding the common ancestor first.

Download PDF sample

Robot Cognition and Navigation: An Experiment with Mobile Robots (Cognitive Technologies) by Srikanta Patnaik


by Daniel
4.4

Rated 4.43 of 5 – based on 11 votes