What happened and why? A mixed architecture for planning and explanation generation in robotics

Zenon Colaco, Mohan Sridharan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper describes a mixed architecture that couples the non-monotonic logical reasoning capabilities of a declarative language with probabilistic belief revision, enabling robots to represent and reason with qualitative and quantitative descriptions of knowledge and uncertainty. Incomplete domain knowledge, including information that holds in all but a few exceptional situations, is represented as a Answer Set Prolog (ASP) program. The answer set obtained by solving this program is used for inference, planning, and for jointly explaining (a) unexpected action outcomes; and (b) partial scene descriptions extracted from sensor input. For any given task, each action in the plan contained in the answer set is executed probabilistically. For each such action, observations extracted from sensor inputs perform incremental Bayesian updates to a probabilistic (belief) distribution over a relevant subset of the domain, committing high probability beliefs as statements to the ASP program. The architecture’s capabilities are evaluated in simulation and on a mobile robot in scenarios that mimic a robot waiter assisting in a restaurant.
Original languageEnglish
Title of host publicationAustralasian Conference on Robotics and Automation 2015 (ACRA)
Place of PublicationSydney
PublisherAustralian Robotics and Automation Association (ARAA)
Number of pages10
ISBN (Print)9780980740462
Publication statusPublished - 2 Dec 2015
EventAustralasian Conference on Robotics and Automation 2015 (ACRA) - Canberra, Australia
Duration: 2 Dec 20154 Dec 2015

Publication series

NameAustralasian Conference on Robotics and Automation (ACRA)
PublisherAustralian Robotics and Automation Association
ISSN (Print)1448-2053

Conference

ConferenceAustralasian Conference on Robotics and Automation 2015 (ACRA)
Country/TerritoryAustralia
CityCanberra
Period2/12/154/12/15

Fingerprint

Dive into the research topics of 'What happened and why? A mixed architecture for planning and explanation generation in robotics'. Together they form a unique fingerprint.

Cite this