173 citations · 456 across the 47 of their papers we have counts for
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cs.RO2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
Alonso Marco, Elias Morley, Claire J. Tomlin
In order for robots to safely navigate in unseen scenarios using learning-based methods, it is important to accurately detect out-of-training-distribution (OoD) situations online.…
cs.RO2023★ 1 cited
Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games
Lasse Peters, Vicenç Rubies-Royo, Claire J. Tomlin +4
Robots deployed to the real world must be able to interact with other agents in their environment. Dynamic game theory provides a powerful mathematical framework for modeling scena…