System design for autonomous openended acquisition of new behaviors: Bootstrapping of robot?s developement,Used

System design for autonomous openended acquisition of new behaviors: Bootstrapping of robot?s developement,Used

In Stock
SKU: DADAX3838115082
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
Sale price$101.27 Regular price$144.67
Save $43.40
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

With increasing demand for autonomy and adaptivity of robots the focus of research on intelligent systems progressively moved from the direct solving of one specific task to more sophisticated approach of learning tasks up to the highest level where the systems decide themselves what to learn and when. Inspired by the example of child development modern research targets a similar process in artificial systems. The expected benefits are higher adaptivity, no necessity to redesign the system for changed tasks, and a break through the limits of the complexity of handdesigned behaviors. The aim of this work is the design of an initial system that bootstraps a taskunspecific, openended development. We formulate the constraints and requirements for the necessary design elements and make formalization of possible types of abstractions used in the behavior control. We discuss how the learning in one type supports the learning in other types thus creating a basis for an openended process. The general ideas about the system design are validated by means of realworld experiments, which focus on the robot's behavior during learningrelated interaction with a human.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed