Evolutionary Robotics: From Algorithms To Implementations
eBook - PDF

Evolutionary Robotics: From Algorithms To Implementations

  1. 268 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Evolutionary Robotics: From Algorithms To Implementations

Book details
Table of contents
Citations

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Evolutionary Robotics: From Algorithms To Implementations by Ling-feng Wang, Kay Chen Tan, Chee-meng Chew in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
World Scientific
Year
2006
ISBN
9789812773142
Topic
Biological Sciences
Subtopic
Science General
Index
Biological Sciences

Table of contents

  1. Contents
  2. Preface
  3. 1. Artificial Evolution Based Autonomous Robot Navigation
  4. 2. Evolvable Hardware in Evolutionary Robotics
  5. 3. FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution
  6. 4. Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation
  7. 5. Task-Oriented Developmental Learning for Humanoid Robots
  8. 6. Bipedal Walking Through Reinforcement Learning
  9. 7. Swing Time Generation for Bipedal Walking Control Using GA tuned Fuzzy Logic Controller
  10. 8. Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm
  11. 9. Concluding Statements
  12. Index