Joint goal human robot collaboration-from remembering to inferring

Mohan, Vishwanathan and Bhat, Ajaz Ahmad ORCID: (2018) Joint goal human robot collaboration-from remembering to inferring. Procedia Computer Science, 123. pp. 579-584. ISSN 1877-0509

[thumbnail of Published manuscript]
PDF (Published manuscript) - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


The ability to infer goals, consequences of one’s own and others’ actions is a critical desirable feature for robots to truly become our companions-thereby opening up applications in several domains. This article proposes the viewpoint that the ability to remember our own past experiences based on present context enables us to infer future consequences of both our actions/goals and observed actions/goals of the other (by analogy). In this context, a biomimetic episodic memory architecture to encode diverse learning experiences of iCub humanoid is presented. The critical feature is that partial cues from the present environment like objects perceived or observed actions of a human triggers a recall of context relevant past experiences thereby enabling the robot to infer rewarding future states and engage in cooperative goal-oriented behaviors. An assembly task jointly done by human and the iCub humanoid is used to illustrate the framework. Link between the proposed framework and emerging results from neurosciences related to shared cortical basis for ‘remembering, imagining and perspective taking’ is discussed.

Item Type: Article
Faculty \ School: Faculty of Social Sciences > School of Psychology
UEA Research Groups: Faculty of Social Sciences > Research Groups > Developmental Science
Related URLs:
Depositing User: Pure Connector
Date Deposited: 09 Feb 2018 12:30
Last Modified: 22 Oct 2022 03:34
DOI: 10.1016/j.procs.2018.01.089

Actions (login required)

View Item View Item