Paper Info
Title
Hybrid system model for event-based planning and control of robot operations
Abstract
This paper presents an event-based hybrid system approach for the motion planning and control of mobile robot systems. The ability of dealing with unexpected events is one of the important aspects of robot intelligence. Robotic systems can obtain environmental information from sensors and respond to environmental information by making task decisions. According to the task decisions, the system is able to modify the original planned path and control the robot to execute the task autonomously. The event based hybrid system model has three layers, one continuous layer, and two discrete layers. The hybrid system model enables the robot system to make decisions and modify original path plans. Experimental results verified the proposed approach.
Year
DOI
Venue
2003
10.1109/CIRA.2003.1222266
CIRA
Keywords
Field
DocType
robot kinematics,discrete layers,decision making,task decisions,environmental information,mobile robots,hybrid system model,mobile robot systems,event-based planning,robot intelligence,intelligent robots,path planning,robots operation control,position control,mobile robot,motion planning,intelligent sensors,robot control,control systems,hybrid system,motion control
Motion planning,Computer vision,Social robot,Robot control,Computer science,Robot kinematics,Artificial intelligence,Unexpected events,Robot,Hybrid system,Mobile robot
Conference
Volume
ISBN
Citations 
2
0-7803-7866-0
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Yu Sun15510.37
Jindong Tan268777.41
Ning Xi31422228.89