|WikiProject Robotics||(Rated Start-class, Top-importance)|
|This article is or was the subject of a Wiki Education Foundation-supported course assignment. Further details are available on the course page. Assigned student editor(s): Zkor. Assigned peer reviews: Erikjerez, Nitwitgoober, Fahimala.|
The first paragraph is not currently technically correct in saying that behavior-based robotics does not employ an "internal model of the environment". This is only a property of strictly reactive behavior-based systems. Cf. "Integration of representation into goal-driven behavior-based robotics" (Mataric 1992) and "Situated robotics" (Mataric 2002). --LarsCremean 18:01, 30 April 2006 (UTC)
- http://www.tamie.org/bbr.html mcpublic 05:00, 31 August 2012 (UTC)
- http://www.inl.gov/adaptiverobotics/behaviorbasedrobotics/ anonymous
Plan to expand upon principal section and possibly add features section using information from  below is what i plan to add.
Behavior-based robotics sets itself apart from traditional artificial intelligence by using biological systems as a model. Classic artificial intelligence typically uses a set of steps to solve problems, it follows a path based on internal representations of events compared to the behavior-based approach. Rather then use preset calculations to tackle a situation, behavior-based robotics relies on adaptability. This advancement has allowed behavior based robotics to become commonplace in researching and data gathering.
Most behavior-based robots are programmed with a basic set of features to start them off. They are given a behavioral repertoire to work with dictating what behaviors to use and when, obstacle avoidance and battery charging can provide a foundation to help the robots learn and succeed. Rather than build world models, behavior-based robots simply react to their environment and problems within.