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Real-time motion planning and controls of docked mobile robots

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dc.contributor.advisor Biglarbegian, Mohammad
dc.contributor.author Lashkari, Negin
dc.date.accessioned 2018-05-09T14:55:31Z
dc.date.available 2018-05-09T14:55:31Z
dc.date.copyright 2018-05
dc.date.created 2018-04-19
dc.date.issued 2018-05-09
dc.identifier.uri http://hdl.handle.net/10214/13019
dc.description.abstract Multiple mobile robots have broad applications for performing tasks beyond the capability of individual robots such as search and rescue, surveillance, space exploration, and cooperative robotics. Often mobile robots are faced with real issues that might limit their functionality such as battery failure, limited transportation capacity, and lacking manoeuvrability to cross uneven surfaces. Mobile robots with docking capabilities can be beneficial to overcome the stated issues by increasing the transportation capacity, reducing the consumed energy, enhancing the mobility in rough terrains, and transferring powers amongst robots. Therefore, this thesis proposes novel approaches for motion control, collision avoidance, and formation control of docked mobile robots (DMR) by first developing a robust tracking controller for two-docked mobile robots, then developing novel motion planning and control methodologies for an extended system of DMR in dynamic environments, and finally designing a robust formation controller for a team of mobile robots that are able to dock to each other, maintain various formations and avoid collisions. The methodologies proposed in this thesis were shown through simulations, implementation in a virtual experimentation platform (V-REP) and experiment that can effectively navigate DMR systems when operating as: (i) a chain of docked modules to perform trajectory tracking and collision avoidance, and (ii) a team of docked and non-docked mobile robots to maintain/rebuild a formation, avoid collisions and dock to each other. The developed methodologies incorporate the dynamics of the system into account, are scalable, and are robust to system uncertainties. Also, they are computationally efficient, able to provide robots' safe motion, applicable to complex paths in dynamic environments, and can handle robots’ mass heterogeneity. In future, motion planning and control of DMR with more degrees of freedom, i.e., pitch or roll motions, can be investigated to further broaden the utility and applications of DMR. en_US
dc.description.sponsorship Natural Sciences and Engineering Council of Canada (NSERC), funding reference number 98202 en_US
dc.language.iso en en_US
dc.subject docked mobile robots en_US
dc.subject motion planning en_US
dc.subject collision avoidance en_US
dc.subject nonlinear control en_US
dc.subject robustness en_US
dc.title Real-time motion planning and controls of docked mobile robots en_US
dc.type Thesis en_US
dc.degree.programme Engineering en_US
dc.degree.name Doctor of Philosophy en_US
dc.degree.department School of Engineering en_US


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