How Long to Read Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms

How Long Does it Take to Read Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms?

It takes the average reader 4 hours and 38 minutes to read Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms by Xiaoyu Yang

Assuming a reading speed of 250 words per minute. Learn more

Description

Fuzzy logic is a logical system which is much closer to human thinking and natural language than traditional logical systems. Furthermore, fuzzy logic is capable of expressing and manipulating imprecise, vague, and ill-defined quantities in a systematic manner. These features make it possible to use fuzzy logic in autonomous navigation algorithms for mobile robots. The resulting fuzzy logic-based navigation algorithms can endow a robot with the ability of emulating humanoid behavior when coping with a large amount of uncertainty in real-world environments. Based on the observation of the behavior of human beings in dynamic environments, three fuzzy autonomous robot navigation algorithms are proposed in this thesis. The direction-based fuzzy reactive algorithm combines information about obstacles and the goal position together and gives the final steering direction which is safe, in the sense of avoiding collisions, and desired, in the sense of seeking the goal. The fuzzy-Braitenberg navigation strategy takes advantage of the essential characteristics of a differential drive robot and combines fuzzy logic with the ideas of Braitenberg vehicles, taking into account obstacle repulsion and goal attraction to set the speeds for the motors. In the layered goal-oriented fuzzy motion planning algorithm, information about the global goal and the long-range sensory data are used by the first layer of the planner to produce an intermediate goal, referred to as the way-point, that gives a favorable direction in terms of seeking the goal within the detected area. The second layer of the planner takes this way-point as a subgoal and, using short-range sensory data, guides the robot to reach the subgoal while avoiding collisions. Systematic procedures of the design and implementation of the three algorithms are addressed. The resulting navigation algorithms are implemented on a real mobile robot, the Koala, and extensively tested in various environments. Experimental results are presented which demonstrate the effectiveness and success of the proposed fuzzy navigation systems.

How long is Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms?

Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms by Xiaoyu Yang is 274 pages long, and a total of 69,596 words.

This makes it 92% the length of the average book. It also has 85% more words than the average book.

How Long Does it Take to Read Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms aloud.

What Reading Level is Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms?

Development and Application of Fuzzy Logic-based Autonomous Robot Navigation Algorithms is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

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