Shared Control in Human Robot Teaming: Toward Context-Aware Communication
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Abstract (arXiv)
In the field of Human-Robot Interaction (HRI), many researchers study shared control systems. Shared control is when a person and agent both contribute to the performance of a task in a collaborative way, often by providing control inputs for a robot. One of the most important things in shared control is the nature of the communication between the person and robot, which could help the human-robot team handle a variety of challenging situations. In this paper, we identify key challenges in shared control, in which better communication design could be useful, including when encountering novel situations and contexts, resolving tensions between preferences and performance, and alleviating cognitive burden and interruptions. Through the use of four exemplar shared control scenarios, we explore how well-designed human-robot communication strategies could help address each challenge. We hope this paper will draw attention to these challenges and assist researchers in advancing the development of shared control systems.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Mar 2022.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.
3 papers.
- 2023Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Taskscited by 1
- 2024Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policiescited by 0
- 2025Enhancing Human-Robot Collaboration through Existing Guidelines: A Case Study Approachcited by 0
- 2025Enhancing Human-Robot Collaboration through Existing Guidelines: A Case Study Approach12 Feb 2025
- 2024Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies19 Jun 2024
- 2023Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks10 Dec 2023