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Automated materials-handling systems, such as Automated Guided Vehicles (AGVs), are currently designed to follow predefined paths. Thus, their autonomy and efficiency can be enhanced if they could make on-line routing decisions. The objective of this thesis is to develop a novel on-line trajectory-planning method for fast robotic interception of moving objects in the presence of moving obstacles.The proposed trajectory planner is a hybrid system that augments the Proportional Navigation (PN) guidance law with a Modified Exact Cell Decomposition (MECD) obstacle avoidance method. It is implemented in both computer simulations and experimentation. The performance was evaluated against the performance of conventional Cell Decomposition methods. The results show that the proposed hybrid trajectory planner is able to achieve tangibly faster interceptions.
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Guidance-based autonomous robot trajectory planning in the presence of obstacles.
2005
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0494022531 9780494022535
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Guidance-based autonomous robot trajectory planning in the presence of obstacles.
2005
in English
0494022531 9780494022535
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Edition Notes
Source: Masters Abstracts International, Volume: 44-01, page: 0540.
Thesis (M.A.Sc.)--University of Toronto, 2005.
Electronic version licensed for access by U. of T. users.
ROBARTS MICROTEXT copy on microfiche.
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December 11, 2009 | Created by WorkBot | add works page |