Skip to content
aiqbench takeAI & Society

aiqbench analysis

This research addresses the critical challenge of intent inference in human-robot teams, specifically within high-stakes search-and-rescue scenarios involving heterogeneous autonomous agents. By developing a platform to study operator behavior and support decision-making, the work advances the practical integration of AI into complex, dynamic environments where human perception must be augmented by machine intelligence.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Towards Intent-Aware Human-Robot Teaming: A Platform for Search-and-Rescue Operations

arXiv1 min read

arXiv:2609.26051v1 Announce Type: new Abstract: We investigate the challenges of enabling effective collaboration between human operators and heterogeneous autonomous agents in complex, dynamic environments by developing an interaction platform that allows study of operator behavior and supports intent inference and decision-making using state-of-the-art frameworks. We demonstrate the extent to which the operator's perception, decisions, and actions could be supported by autonomous systems during search-and-rescue operations with our platform.

Abstract:We investigate the challenges of enabling effective collaboration between human operators and heterogeneous autonomous agents in complex, dynamic environments by developing an interaction platform that allows study of operator behavior and supports intent inference and decision-making using state-of-the-art frameworks. We demonstrate the extent to which the operator's perception, decisions, and actions could be supported by autonomous systems during search-and-rescue operations with our platform.

Robotics (cs.RO)

arXiv:2609.26051 [cs.RO]

(or arXiv:2609.26051v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2609.26051 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 156 words

Related coverage