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Our First Paper!
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…
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Boston Symmetry Day
Professor Giamou presented some work on leveraging equivariance for a generative approach to learning inverse kinematics for redundant manipulators at Boston Symmetry Day at Northeastern University on April 27, 2023. Check out this work in the latest version of the preprint (in collaboration with STARS Laboratory).
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