6533b7d1fe1ef96bd125cc8f
RESEARCH PRODUCT
Robot passes the mirror test by inner speech
Arianna PipitoneAntonio ChellaAntonio Chellasubject
Matching (statistics)business.industryComputer scienceGeneral Mathematicsmedia_common.quotation_subjectRoboticsCognitive architectureInner speech Cognitive architecture Robot mirror test Conceptual reasoningMotion (physics)Computer Science ApplicationsTask (project management)Control and Systems EngineeringPerceptionRobotComputer visionArtificial intelligencebusinessMirror testSoftwaremedia_commondescription
Abstract The mirror test is a well-known task in Robotics. The existing strategies are based on kinesthetic-visual matching techniques and manipulate perceptual and motion data. The proposed work attempts to demonstrate that it is possible to implement a robust robotic self-recognition method by the inner speech, i.e. the self-dialogue that enables reasoning on symbolic information. The robot self-talks and conceptually reasons on the symbolic forms of signals, and infers if the robot it sees in the mirror is itself or not. The idea is supported by the existing literature in psychology, where the importance of inner speech in self-reflection and self-concept emergence for solving the mirror test was empirically demonstrated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-10-01 |