The human intention. A taxonomy attempt and its applications to robotics
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Abstract (arXiv)
Despite a surge in robotics research dedicated to inferring and understanding human intent, a universally accepted definition remains elusive since existing works often equate human intention with specific task-related goals. This article seeks to address this gap by examining the multifaceted nature of intention. Drawing on insights from psychology, it attempts to consolidate a definition of intention into a comprehensible framework for a broader audience. The article classifies different types of intention based on psychological and communication studies, offering guidance to researchers shifting from pure technical enhancements to a more human-centric perspective in robotics. It then demonstrates how various robotics studies can be aligned with these intention categories. Finally, through in-depth analyses of collaborative search and object transport use cases, the article underscores the significance of considering the diverse facets of human intention.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Feb 2026.
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Citing papers per year: 2026: 4.
4 papers.
- 2026An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interactioncited by 2
- 2026A ROS 2 Wrapper for Florence-2: Multi-Mode Local Vision-Language Inference for Robotic Systemscited by 1
- 2026Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Taskcited by 0
- 2026From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Graspingcited by 0
- 2026From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping1 Jul 2026
- 2026Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Task1 May 2026
- 2026A ROS 2 Wrapper for Florence-2: Multi-Mode Local Vision-Language Inference for Robotic Systems1 Apr 2026
- 2026An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interaction23 Feb 2026