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<p class="MsoNormal"><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif">PRESENTER</span></b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif">: Karthikeyan Umapathy Gunasekaran
<o:p></o:p></span></p>
<p><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif">TITLE:
</span></b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif;color:black">Map Generation and Trajectory Following for an Autonomous Mobile Robot</span><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif"><o:p></o:p></span></b></p>
<p><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif;color:black">DATE:
</span></b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif;color:black">Wednesday, April 18, 2018</span><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif"><o:p></o:p></span></p>
<p><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif;color:black">TIME: 10 am - 11 am.<o:p></o:p></span></b></p>
<p><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif;color:black">LOCATION : CI 228</span></b><b><span style="font-size:14.0pt;font-family:"Calibri Light",sans-serif"><o:p></o:p></span></b></p>
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<p class="MsoNormal"><b><u><span style="font-size:14.0pt">ABSTRACT:<o:p></o:p></span></u></b></p>
<p class="MsoNormal"><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#222222;background:white">The approaches of building an autonomous system date back to the classical era, but until the 20th century, there was no significant growth in
its performance and usability. With the advent of the intelligent autonomous system, robots and robotics had moved from science fictions movies and books into our everyday life. Systematically obtaining spatial information in an indoor environment and planning
its motion in minimum cost is a challenge. In this thesis, we propose a complete framework for an autonomous mobile robot to move from the point of interest to a target point. This framework encompasses an innovative methodology to build a two-dimensional
binary occupancy grid map of an unknown static environment using a single laser sensor. The prominent metaheuristic algorithm – the Genetic algorithm is used, for path planning from the point of interest to target point based on the map generated. The planned
path is translated into trajectory plan, for the robot reach the target point.<o:p></o:p></span></p>
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