Toward resilient human-robot interaction through situation projection for effective joint action

AR Pearce; L Sonenberg; Patrick Nixon

Toward resilient human-robot interaction through situation projection for effective joint action

AR Pearce, L Sonenberg, Patrick Nixon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we address the design of robots that can be successful partners to humans in joint activity. The paper outlines an approach to achieving adjustable autonomy during execution– and hence to achieve resilient multi-actor joint action – based on both temporal and epistemic situation projection. The approach is based on non-deterministic planning techniques based on the situations calculus.

Original language	English
Title of host publication	Unknown Host Publication
Pages	44-48
Number of pages	5
Publication status	Published (in print/issue) - 2011
Event	Association for the Advancement of Artificial Intelligence Symposium (AAAI) Fall Symposium - Arlington, VA Duration: 1 Jan 2011 → …

Conference

Conference	Association for the Advancement of Artificial Intelligence Symposium (AAAI) Fall Symposium
Period	1/01/11 → …

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title = "Toward resilient human-robot interaction through situation projection for effective joint action",

abstract = "In this paper we address the design of robots that can be successful partners to humans in joint activity. The paper outlines an approach to achieving adjustable autonomy during execution– and hence to achieve resilient multi-actor joint action – based on both temporal and epistemic situation projection. The approach is based on non-deterministic planning techniques based on the situations calculus.",

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author = "AR Pearce and L Sonenberg and Patrick Nixon",

year = "2011",

language = "English",

isbn = "978-1-57735-549-6",

pages = "44--48",

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note = "Association for the Advancement of Artificial Intelligence Symposium (AAAI) Fall Symposium ; Conference date: 01-01-2011",

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T1 - Toward resilient human-robot interaction through situation projection for effective joint action

AU - Pearce, AR

AU - Sonenberg, L

AU - Nixon, Patrick

PY - 2011

Y1 - 2011

N2 - In this paper we address the design of robots that can be successful partners to humans in joint activity. The paper outlines an approach to achieving adjustable autonomy during execution– and hence to achieve resilient multi-actor joint action – based on both temporal and epistemic situation projection. The approach is based on non-deterministic planning techniques based on the situations calculus.

AB - In this paper we address the design of robots that can be successful partners to humans in joint activity. The paper outlines an approach to achieving adjustable autonomy during execution– and hence to achieve resilient multi-actor joint action – based on both temporal and epistemic situation projection. The approach is based on non-deterministic planning techniques based on the situations calculus.

KW - n/a

M3 - Conference contribution

SN - 978-1-57735-549-6

SP - 44

EP - 48

BT - Unknown Host Publication

T2 - Association for the Advancement of Artificial Intelligence Symposium (AAAI) Fall Symposium

Y2 - 1 January 2011

ER -

Toward resilient human-robot interaction through situation projection for effective joint action

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