How to Communicate Robot Motion Intent: A Scoping Review
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Abstract (arXiv)
Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying out autonomous tasks. In Human-Robot Interaction, human actors benefit from understanding the robot's motion intent to avoid task failures and foster collaboration. Finding effective ways to communicate this intent to users has recently received increased research interest. However, no common language has been established to systematize robot motion intent. This work presents a scoping review aimed at unifying existing knowledge. Based on our analysis, we present an intent communication model that depicts the relationship between robot and human through different intent dimensions (intent type, intent information, intent location). We discuss these different intent dimensions and their interrelationships with different kinds of robots and human roles. Throughout our analysis, we classify the existing research literature along our intent communication model, allowing us to identify key patterns and possible directions for future research.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Mar 2023.
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Citing papers per year: 2023: 4; 2024: 1; 2025: 2; 2026: 1.
8 papers.
- 2025Deep Learning Approaches for Multimodal Intent Recognition: A Surveycited by 6
- 2023In Time and Space: Towards Usable Adaptive Control for Assistive Robotic Armscited by 4
- 2023AdaptiX -- A Transitional XR Framework for Development and Evaluation of Shared Control Applications in Assistive Roboticscited by 3
- 2023Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teamingcited by 3
- 2023Exploring AI-enhanced Shared Control for an Assistive Robotic Armcited by 0
- 2024Adaptive Control in Assistive Application -- A Study Evaluating Shared Control by Users with Limited Upper Limb Mobilitycited by 0
- 2025Rude Humans and Vengeful Robots: Examining Human Perceptions of Robot Retaliatory Intentions in Professional Settingscited by 0
- 2026Extended Reality as a Mediation Layer for Situated Human Control in Human-Robot Teamingcited by 0
- 2026Extended Reality as a Mediation Layer for Situated Human Control in Human-Robot Teaming27 Jul 2026
- 2025Deep Learning Approaches for Multimodal Intent Recognition: A Survey24 Jul 2025
- 2025Rude Humans and Vengeful Robots: Examining Human Perceptions of Robot Retaliatory Intentions in Professional Settings21 Mar 2025
- 2024Adaptive Control in Assistive Application -- A Study Evaluating Shared Control by Users with Limited Upper Limb Mobility10 Jun 2024
- 2023Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming12 Dec 2023
- 2023AdaptiX -- A Transitional XR Framework for Development and Evaluation of Shared Control Applications in Assistive Robotics24 Oct 2023
- 2023In Time and Space: Towards Usable Adaptive Control for Assistive Robotic Arms6 Jul 2023
- 2023Exploring AI-enhanced Shared Control for an Assistive Robotic Arm23 Jun 2023