DocumentCode
2669561
Title
Robot rolling path planning with the optimization target of expected direction angle
Author
Benxian, Xiao ; Yanhong, Li ; Gang, Liu ; Kang, You ; Rongbao, Chen
Author_Institution
Inst. of Ind. Autom., Hefei Univ. of Technol., Hefei
fYear
2008
fDate
16-18 July 2008
Firstpage
466
Lastpage
470
Abstract
Based-on predictive control principle, rolling planning integrates optimization with feedback strategy, and it will be helpful to overcome the respective limitation of global planning and local planning. The paper used the direction angle of polar coordinates as optimization target, inside rolling window, the method of one-step planning was adopted to realize on-line real-time path rolling planning for static and dynamic obstacles under unknown environment, also some solving schemes were presented for oscillation and deadlock problems appeared in the course of planning. Because window rolling integrates feedback initialization, so optimization is always based on local but real-time information though, environmental uncertainty and dynamic change are reflected and considered into optimization real-time, global closed-loop problem solution is obtained. Research and simulation indicates this method has strong adaptability and better rapidness & security & reachability.
Keywords
mobile robots; optimisation; path planning; predictive control; deadlock problems; dynamic obstacles; feedback strategy; global closed-loop problem solution; global planning; local planning; online real-time path rolling planning; optimization real-time; optimization target; oscillation problems; predictive control; robot rolling path planning; static obstacles; Arithmetic; Feedback; Industrial control; Path planning; Robot kinematics; Robotics and automation; Service robots; Strategic planning; Technology planning; Virtual reality; Expected direction angle; Mobile robot; Path planning; Rolling planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605707
Filename
4605707
Link To Document