Towards a system that allows robots to use commitments in joint action with humans Article Swipe
Ely Repiso
,
Guillaume Sarthou
,
Aurélie Clodic
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/ro-man57019.2023.10309590
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/ro-man57019.2023.10309590
In collaborative tasks, expectations for achieving shared goals arise at all hierarchical plan levels, including plans, tasks, subtasks, and actions. However, these expectations also generate uncertainties for individuals executing the joint plan. If left unresolved, these uncertainties can impede successful task completion. Uncertainties may relate to the agents’ motivation to initiate, continue, or complete their plan (motivational uncertainty), the best way to execute their shared plan (instrumental uncertainty), and their knowledge of other agents and the environment (common ground uncertainty). These expectations can be either normative or descriptive, but only normative expectations trigger reactions from agents to resolve the aforementioned types of uncertainties. Thus, this paper introduces a theoretical model that enables a robot to consider all agents’ expectations and take actions that reduce the uncertainties associated with their shared plan. By doing so, we aim to enhance the likelihood of success in joint plans between robots and humans. To demonstrate the effectiveness of our theoretical commitment model, we have implemented a proof of concept for a client service use case in a food shop.
Related Topics
Concepts
Normative
Computer science
Plan (archaeology)
Robot
Action (physics)
Joint (building)
Task (project management)
Service (business)
Risk analysis (engineering)
Human–computer interaction
Artificial intelligence
Knowledge management
Business
Engineering
Marketing
Systems engineering
Epistemology
Quantum mechanics
History
Physics
Archaeology
Philosophy
Architectural engineering
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/ro-man57019.2023.10309590
- OA Status
- green
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386841551
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4386841551Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/ro-man57019.2023.10309590Digital Object Identifier
- Title
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Towards a system that allows robots to use commitments in joint action with humansWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-28Full publication date if available
- Authors
-
Ely Repiso, Guillaume Sarthou, Aurélie ClodicList of authors in order
- Landing page
-
https://doi.org/10.1109/ro-man57019.2023.10309590Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://laas.hal.science/hal-04206081Direct OA link when available
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Normative, Computer science, Plan (archaeology), Robot, Action (physics), Joint (building), Task (project management), Service (business), Risk analysis (engineering), Human–computer interaction, Artificial intelligence, Knowledge management, Business, Engineering, Marketing, Systems engineering, Epistemology, Quantum mechanics, History, Physics, Archaeology, Philosophy, Architectural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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