Abstract
Recently, intelligent robots have been used in various fields. Therefore, a robot should perform flexible perception and decision making. Based on the concept of the structured intelligence, we have proposed a sensory network for the perception and multi-objective behavior coordination (MOBC) for the decision making of the robot. However, the multi-objective behavior takes much time comparing to subsumption architecture, since the multi-objective behavior coordination makes outputs based on the inference results of multiple behavior rules. From the viewpoint of real-time control, the robot should quickly take feasible actions, not optimal actions. Therefore, this paper proposes a control method of the behavioral dimension in multi-objective behavior coordination of the mobile robot. We discuss the effectiveness of the propose method through several experiments of the mobile robot.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
