Extracting Behavior Knowledge and Modeling Based on Virtual Agricultural Mobile Robot

摘要: Aiming at complexity, unknown and uncertainty of picking object agricultural intelligence mobile robot, extracting behavior knowledge modeling based on the robot was put forward to help them obtain information effectively during operation, thereby make decision for their behaviors. Firstly, studied in virtual environment. Propose a method environment those are association rules and, classify express entities such as robots, fruit trees litchi, etc. Secondly, bases models were built reasoning. Thirdly, first time classifies rough sets systematically, behaviors into obstacle-avoidance, picking, reasoning fusion reduce redundant knowledge. Finally, an example simulation given. It realized by message route mechanism.