On Wednesday, May 30th, Professor Giamou and Ethan Sequiera presented ARCO Lab’s first completely homegrown paper at the 21st Conference on Robots and Vision at The University of Guelph! We formulated the optimal placement of ranging beacons in a robot’s environment as a set function maximization problem. This allowed us to use an efficient greedy […]
Categories