text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation Home National Science Foundation - Office of International Science and Engineering (OISE)
Office of International Science and Engineering (OISE)
design element
OISE Home
About OISE
Funding Opportunities
Awards
News
Events
Discoveries
Publications
Advisory Committee
Career Opportunities
See Additional OISE Resources
View OISE Staff
Proposals and Awards
Proposal and Award Policies and Procedures Guide
  Introduction
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Merit Review
NSF Outreach
Policy Office
Additional OISE Resources
Advisory Committee Meetings
Career Opportunities
Funding Rates
Budget Excerpt
Staff by Region, Country & Program
NSF Overseas Offices
Regional Opportunities
J-1 Visa Waiver Request
Info for Travelers
Other Site Features
Special Reports
Research Overviews
Multimedia Gallery
Classroom Resources
NSF-Wide Investments

Email this pagePrint this page
All Images

Discovery
Transforming Robotics With Biologically Inspired Learning Models

Back to article | Note about images

Aisha Sohail, Heather Ames and Jasmin Leveille running simulations of artificial visual system.

Aisha Sohail, Heather Ames and Jasmin Leveille run simulations of the artificial visual system in Cog.

Credit: Massimiliano Versace, CELEST, Boston University


Download the high-resolution JPG version of the image. (2 MB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.

Image of the robot Viguar learning to approach and avoid cylindrical red and green cyclinders.

The video shows initial testing of a robot that has learned to associate likes and dislikes with a particular color in its environment. The video shows a robot navigating in the environment that consists of red and green cylindrical objects and the dynamics of learning in the Cog environment, which researchers used to generate the model that controls the robot.

Credit: Gennady Livitz, CELEST, Boston University


Download the high-resolution JPG version of the image. (32 KB)

Use your mouse to right-click (Mac users may need to Ctrl-click) the link above and choose the option that will save the file or target to your computer.



Email this pagePrint this page
Back to Top of page