Learning to Climb: Constrained Contextual Bayesian Optimisation on a Multi-Modal Legged Robot
Controlling a legged robot to climb obstacles with different heights is challenging, but important for an autonomous robot to work in an unstructured environment. In this paper, we model this problem as a novel contextual constrained multi-armed bandit framework. We further propose a learning-based