- Author:Santhosh Ragan
- Publisher:LAP LAMBERT Academic Publishing (August 14, 2012)
- Pages:56 pages
- FB2 format1737 kb
- ePUB format1190 kb
- DJVU format1750 kb
- Formats:lit doc rtf lrf
Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program.
Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. These multiple features with hybrid Soft computing techniques depart the developed Soft-I-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation.
Soft Computing (SC) consists of several computing paradigms, including .
Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques.
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This paper describes the so-called RobSim robot control system software RobSim is a hybrid system based on soft computing techniques and includes a genetic algorithm component, a fuzzy logic component, and a component utilizing features.
This paper describes the so-called RobSim robot control system software. RobSim is a hybrid system based on soft computing techniques and includes a genetic algorithm component, a fuzzy logic component, and a component utilizing features derived from chaos theory. The presented system is an extension of our previous work. A new component of the system exploits the principle of self-similarity found in chaos theory via so-called adaptive fuzzy sets for problem solving.
Soft Computing Techniques for SPPU by I A Dhotre. If any more book needs to be added to the list of best books on Computing Techniques Subject, please let us know. 3. Soft Computing techniques by N P Padhy and S P Simon. 4. Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis by Michael Mitzenmacher and Eli Upfal. 5. Machine Learning with R by Brett Lantz. Sanfoundry Global Education & Learning Series – Best Reference Books! advertisement.
soft computing techniques. It has been developed as a textbook for one semester course at univer-. sity for students pursing computer science and in almost all other branches of engineering. the course of teaching soft computing, I found that no textbook covers the complete syllabi of the. soft computing. In this book, we have attempted to cover all the syllabi along with many examples. Lacking the emotional side, robots can think logically and take the right decisions. Sentiments are associated with moods that affect human efficiency. This is not the case with machines.
The main purpose of this book is to show how the power of soft computing techniques can be exploited in intelligent robotic systems. The main emphasis is on control system for a.
Robot navigation and obstacle avoidance using fuzzy logic controller is presented. Soft computing techniques are used to optimize the performance of fuzzy logic. The automatic tuning was done by using three soft computing techniques: GA, PSO, and N. he best performance in terms of travelling time and speed is based on GA-Fuzzy. The PSO-Fuzzy and Neuro-Fuzzy methods have better performance. in terms of distance travelled.