Agilo
Semi-automatic Acquisition of Visuo-motoric Plans
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Robotic soccer has become a standard 'real-world' testbed for autonomous multi robot control. In robot soccer (mid-size league) two teams of four autonomous robots --- one goal keeper and three field players --- play soccer against each other. The soccer field is four by nine meters big. The key characteristics of mid-size robot soccer are that the robots are completely autonomous. Consequently, all sensing and all action selection is done onboard of the individual robots. Skillful play requires our robots to recognize objects, such as other robots, field lines, and goals, and even entire game situations.
In the AGILO project we investigate how probabilistic visuomotoric autonomous robot controllers that are capable of learning can meet these challenges.
The AGILO robot controllers employ game state estimation and situated action selection based on automatically learned control mechanisms.
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Research Topics
- Model-Based Programming
Application Domain
- Multi-Joint Action
