2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
IROS 2019poster
Robotic systems are ever more capable of automation and fulfilment of complex tasks, particularly with reliance on recent advances in intelligent systems, deep learning and artificial intelligence in general. However, as robots and humans come closer together in their interactions, the matter of int…