A Hierarchical Architecture for Human-Robot Cooperation Processes
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Abstract (arXiv)
In this paper we propose FlexHRC+, a hierarchical human-robot cooperation architecture designed to provide collaborative robots with an extended degree of autonomy when supporting human operators in high-variability shop-floor tasks. The architecture encompasses three levels, namely for perception, representation, and action. Building up on previous work, here we focus on (i) an in-the-loop decision making process for the operations of collaborative robots coping with the variability of actions carried out by human operators, and (ii) the representation level, integrating a hierarchical AND/OR graph whose online behaviour is formally specified using First Order Logic. The architecture is accompanied by experiments including collaborative furniture assembly and object positioning tasks.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Sep 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 4; 2024: 2; 2025: 3.
12 papers.
- 2024A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approachescited by 19
- 2023A Framework for Neurosymbolic Robot Action Planning using Large Language Modelscited by 11
- 2023Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environmentscited by 8
- 2021Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspacescited by 7
- 2021An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teamscited by 3
- 2025A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networkscited by 2
- 2025Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLMcited by 2
- 2021Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptationcited by 1
- 2023A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teamscited by 1
- 2025Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaborationcited by 1
- 2023Formalising Natural Language Quantifiers for Human-Robot Interactionscited by 0
- 2024An Epistemic Human-Aware Task Planner which Anticipates Human Beliefs and Decisionscited by 0
- 2025Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration11 Nov 2025
- 2025Achieving Scalable Robot Autonomy via neurosymbolic planning using lightweight local LLM13 May 2025
- 2025A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks10 Mar 2025
- 2024An Epistemic Human-Aware Task Planner which Anticipates Human Beliefs and Decisions27 Sep 2024
- 2024A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches3 Apr 2024
- 2023Formalising Natural Language Quantifiers for Human-Robot Interactions25 Aug 2023
- 2023Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments27 Mar 2023
- 2023A Framework for Neurosymbolic Robot Action Planning using Large Language Models1 Mar 2023
- 2023A Unified Architecture for Dynamic Role Allocation and Collaborative Task Planning in Mixed Human-Robot Teams19 Jan 2023
- 2021Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation5 Nov 2021
- 2021Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces8 Oct 2021
- 2021An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teams25 May 2021