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424 || AWSAR Awarded Popular Science Stories - 2019
Power threshold is kept constant. It also shows the placement of charging stations in the warehouse workspace.
Our algorithms provide optimal solutions in terms of the number of charging stations (variant-1), power threshold (variant-2) and motion plan (both variants) to move from any obstacle-free location to one of the charging stations. Our problem is a version of the famous facility location problem. However, to the best of our knowledge, this work is the first one to take into account the complex dynamics of the robots while planning facility
locations for them in a workspace. We are extending this work by assigning specific tasks to the robot and verifying that those tasks are completed successfully along with autonomous recharging.
This work was published in the paper titled ‘Charging Station Placement for Indoor Robotic Applications’ authored by myself and my PhD supervisor, Prof. Indranil Saha, Department of Computer Science and Engineering, IIT Kanpur. This paper was published in the International Conference on Robotics and Automation (ICRA) 2018.
   





























































































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