Using perspective taking to learn from ambiguous demonstrations

By Cynthia Lynn Breazeal, Matt Berlin, Andrew G. Brooks, J. Gray, Andrea Lockerd Thomaz. 2006

135 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Social Psychology

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Citations in the corpus

Multiagent Learning: Basics, Challenges, and Prospects (2012, background): “…would also establish a linkage to learning techniques that are closely related to transfer learning such as imitation learning (for example, Price and Boutilier [2003]), learning from demonstration (for example, Breazeal et al. [2006]) and multitask learning (for example, Ando and Zhang [2005]).”
Mightability maps: A perceptual level decisional framework for co-operative and competitive human-robot interaction (2010, background): “Perspective taking has been shown useful in learning [17], in action recognition [16], in human-robot interaction [18] as well as for shared attention [15].”
Spatial reasoning for human robot interaction (2007, background): “[31] and [30] also work in perspective taking in a 3D simulated environment in order to help robot with the learning process.”
An implemented theory of mind to improve human-robot shared plans execution (2016, background): “use perspective taking to learn tasks from ambiguous demonstrations [13].”
Artificial cognition for social human-robot interaction: An implementation (2017, background): “switches perspective) without informing her partner about it [66,67].”
The influence of empathy in human-robot relations (2013, background): “There are also some examples of perspective-taking in HRI with the goal of, for example, improving the robot’s effectiveness in learning simple tasks from ambiguous demonstrations (Breazeal et al., 2006) or facilitating human-robot communication (Torrey et al.”