The human intention. A taxonomy attempt and its applications to robotics
- URL: http://arxiv.org/abs/2602.15963v1
- Date: Tue, 17 Feb 2026 19:26:16 GMT
- Title: The human intention. A taxonomy attempt and its applications to robotics
- Abstract summary: Article attempts to consolidate a definition of intention into a comprehensible framework for a broader audience.<n>The article classifies different types of intention based on psychological and communication studies.<n>It then demonstrates how various robotics studies can be aligned with these intention categories.
- Score: 2.6212127510234797
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: 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.
Related papers
- OntoPret: An Ontology for the Interpretation of Human Behavior [0.024466725954625887]
A research gap exists between techno centric robotic frameworks, which often lack nuanced models of human behavior, and collaborative interpretation.<n>This paper addresses this gap by presenting OntoPret, an adaptability for the interpretation of human behavior.
arXiv Detail & Related papers (2025-10-27T17:28:51Z) - Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration [6.047608758920625]
We analyzed how human behavior changed in response to different types of failures and varying explanation levels.<n>We formulate a data-driven predictor to predict human confusion during robot failure explanations.
arXiv Detail & Related papers (2025-04-13T20:49:43Z) - CoNav: A Benchmark for Human-Centered Collaborative Navigation [66.6268966718022]
We propose a collaborative navigation (CoNav) benchmark.
Our CoNav tackles the critical challenge of constructing a 3D navigation environment with realistic and diverse human activities.
We propose an intention-aware agent for reasoning both long-term and short-term human intention.
arXiv Detail & Related papers (2024-06-04T15:44:25Z) - Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI [20.21053807133341]
We try to provide an account of what constitutes a human-aware AI system.
We see that human-aware AI is a design oriented paradigm, one that focuses on the need for modeling the humans it may interact with.
arXiv Detail & Related papers (2024-05-13T14:17:52Z) - Real-time Addressee Estimation: Deployment of a Deep-Learning Model on
the iCub Robot [52.277579221741746]
Addressee Estimation is a skill essential for social robots to interact smoothly with humans.
Inspired by human perceptual skills, a deep-learning model for Addressee Estimation is designed, trained, and deployed on an iCub robot.
The study presents the procedure of such implementation and the performance of the model deployed in real-time human-robot interaction.
arXiv Detail & Related papers (2023-11-09T13:01:21Z) - Perception for Humanoid Robots [10.560498559084449]
This review summarizes the recent developments and trends in the field of perception in humanoid robots.
Three main areas of application are identified, namely, internal state estimation, external environment estimation, and human robot interaction.
arXiv Detail & Related papers (2023-09-27T12:32:11Z) - Proceeding of the 1st Workshop on Social Robots Personalisation At the
crossroads between engineering and humanities (CONCATENATE) [37.838596863193565]
This workshop aims to raise an interdisciplinary discussion on personalisation in robotics.
It aims at bringing researchers from different fields together to propose guidelines for personalisation.
arXiv Detail & Related papers (2023-07-10T11:11:24Z) - Human-Robot Collaboration and Machine Learning: A Systematic Review of
Recent Research [69.48907856390834]
Human-robot collaboration (HRC) is the approach that explores the interaction between a human and a robot.
This paper proposes a thorough literature review of the use of machine learning techniques in the context of HRC.
arXiv Detail & Related papers (2021-10-14T15:14:33Z) - Semantics for Robotic Mapping, Perception and Interaction: A Survey [93.93587844202534]
Study of understanding dictates what does the world "mean" to a robot.
With humans and robots increasingly operating in the same world, the prospects of human-robot interaction also bring semantics into the picture.
Driven by need, as well as by enablers like increasing availability of training data and computational resources, semantics is a rapidly growing research area in robotics.
arXiv Detail & Related papers (2021-01-02T12:34:39Z) - Machine Common Sense [77.34726150561087]
Machine common sense remains a broad, potentially unbounded problem in artificial intelligence (AI)
This article deals with the aspects of modeling commonsense reasoning focusing on such domain as interpersonal interactions.
arXiv Detail & Related papers (2020-06-15T13:59:47Z) - Human Grasp Classification for Reactive Human-to-Robot Handovers [50.91803283297065]
We propose an approach for human-to-robot handovers in which the robot meets the human halfway.
We collect a human grasp dataset which covers typical ways of holding objects with various hand shapes and poses.
We present a planning and execution approach that takes the object from the human hand according to the detected grasp and hand position.
arXiv Detail & Related papers (2020-03-12T19:58:03Z) - A Review of Personality in Human Robot Interactions [5.798381034808673]
Personality has been identified as a vital factor in understanding the quality of human robot interactions.
Despite this the research in this area remains fragmented and lacks a coherent framework.
This paper reviews 83 articles and 84 separate studies to assess the current state of human robot personality research.
arXiv Detail & Related papers (2020-01-31T11:28:37Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.