A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Aiming at the challenge of intelligent control of harvesting robot, this study firstly introduced the concept of the harvesting behavior and its basic behaviors, and based on those concepts the behavior knowledge database was established as a library of the functions of the basic behaviors. Secondly, a model of behavior control was proposed based on the vision sensors, and the model includes the weight coefficients ω and the time sequence coefficient T which could provide the possibility ofdoi:10.2991/ammsa-17.2017.87 fatcat:v47gcelkcjfgrfbl6jrhihw35m