How to Communicate Robot Motion Intent: A Scoping Review
Max Pascher, Uwe Gruenefeld, Stefan Schneegass, Jens Gerken
Abstract
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 92d083bf-6e06-4af0-ac0d-a6292e884ec4Cited by top-tier papers5
- Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and EmbodimentSarah Schömbs, Saumya Pareek, Jorge Gonçalves, Wafa JohalCHI 2024 · 27 citations
- How Do We Research Human-Robot Interaction in the Age of Large Language Models? A Systematic ReviewYufeng Wang, Yuan Xu, Anastasia Nikolova, Yuxuan Wang et al.CHI 2026 · 4 citations
- EVE: Enabling Anyone to Train Robots using Augmented RealityJun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox et al.UIST 2024 · 4 citations
- Walking with robots: Video analysis of human-robot interactions in transit spacesBarry Brown, Hannah R. M. Pelikan, Mathias BrothCHI 2026 · 3 citations
- Forefeel the Move: Investigating Proprioceptive Feedback for Communicating Imminent Motions of Body-actuating SystemsMarie Muehlhaus, Martin Schmitz, Jürgen SteimleCHI 2026 · 1 citation
Builds on8
- Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic InterfacesRyo Suzuki, Adnan Karim, Tian Xia, Hooman Hedayati et al.CHI 2022 · 243 citations
- Effects of Semantic Segmentation Visualization on Trust, Situation Awareness, and Cognitive Load in Highly Automated VehiclesMark Colley, Benjamin Eder, Jan Ole Rixen, Enrico RukzioCHI 2021 · 100 citations
- Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers' Perceptions of Automated VehiclesRebecca Currano, So Yeon Park, Dylan James Moore, Kent Lyons et al.CHI 2021 · 68 citations
- Assisting Manipulation and Grasping in Robot Teleoperation with Augmented Reality Visual CuesStephanie Arévalo Arboleda, Franziska Rücker, Tim Dierks, Jens GerkenCHI 2021 · 59 citations
- User-defined Swarm Robot ControlLawrence H. Kim, Daniel S. Drew, Veronika Domova, Sean FollmerCHI 2020 · 56 citations
Related papers
- That and There: Judging the Intent of Pointing Actions with Robotic ArmsMalihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash et al.AAAI 2020
- Towards Fluent Interaction with Cyber-Physical ArchitectureJesse T. Gonzalez, Neeta M. Khanuja, Michael Mingxuan Li, Maggie Guo et al.CHI 2026 · 2 citations
- Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone InteractionViviane Herdel, Lee J. Yamin, Jessica R. CauchardCHI 2022 · 66 citations
- An Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot InteractionJan Leusmann, Steeven Villa, Thomas Liang, Chao Wang et al.CHI 2025 · 16 citations
- Ready for the Touch: Exploring Users' Perceived Transparency of Robot Pre-Touch CuesRan Zhao, Zhaopeng Zhu, Xiaotong He, Yue Jiang et al.CHI 2026 · 2 citations
