Practical application of pseudospectral optimization to robot path planning
Contribuinte(s) |
Wyeth, Gordon Upcroft, Ben |
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Data(s) |
01/12/2010
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Resumo |
To obtain minimum time or minimum energy trajectories for robots it is necessary to employ planning methods which adequately consider the platform’s dynamic properties. A variety of sampling, graph-based or local receding-horizon optimisation methods have previously been proposed. These typically use simplified kino-dynamic models to avoid the significant computational burden of solving this problem in a high dimensional state-space. In this paper we investigate solutions from the class of pseudospectral optimisation methods which have grown in favour amongst the optimal control community in recent years. These methods have high computational efficiency and rapid convergence properties. We present a practical application of such an approach to the robot path planning problem to provide a trajectory considering the robot’s dynamic properties. We extend the existing literature by augmenting the path constraints with sensed obstacles rather than predefined analytical functions to enable real world application. |
Formato |
application/pdf |
Identificador | |
Publicador |
Australian Robotics & Automation Association |
Relação |
http://eprints.qut.edu.au/41075/4/40030.pdf http://www.araa.asn.au/acra/acra2010/index.html Martin, Steven Colin, Hillier, Nick, & Corke, Peter (2010) Practical application of pseudospectral optimization to robot path planning. In Wyeth, Gordon & Upcroft, Ben (Eds.) Australasian Conference on Robotics and Automation 2010, Australian Robotics & Automation Association, Brisbane, Queensland. |
Direitos |
Copyright 2010 Australian Robotics & Automation Association |
Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #080110 Simulation and Modelling #path planning #pseudospectral #optimization #ROS #robot |
Tipo |
Conference Paper |