Work

A Bayesian Robot That Distinguishes "Self" from "Other"

Year: 2007

Type: article

Abstract: A Bayesian kinesthetic-visual matching model allows a humanoid robot to perform mirror self-recognition without social understanding.The robot learns the relationship between its own motor activity and perceived motion by observing the movements of its arm for four minutes.Over this time, it builds a simple dynamic Bayesian model that relates these two events, and uses this self model to build a model of "animate others" that is a copy of its self model but with the motor state hidden.Presented with a mirror, the robot then judges its mirror image to match its "self" model, while people are judged to be "animate others."

Source: eScholarship (California Digital Library)

Authors: Kevin Gold, Brian Scassellati

Institution: Yale University

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, Defense Advanced Research Projects Agency

Awards: CAREER: Social Robots and Human Social Development, Quantative measures of social response for autism diagnosis, G6671297155, Composing Data-Rich Embedded Systems the Easy Way, ITR: A Framework for Rapid Development of Reliable Robotics Software

OpenAlex ID: W2767363704

FWCI: 4.055

Cites: 13

Cited by: 27

Related to: 10