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arXiv · 2411.17326

Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning

Juan Carlos Saborio·Joachim Hertzberg
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Abstract

Intention recognition, or the ability to anticipate the actions of another agent, plays a vital role in the design and development of automated assistants that can support humans in their daily tasks. In particular, industrial settings pose interesting challenges that include potential distractions for a decision-maker as well as noisy or incomplete observations. In such a setting, a robotic assistant tasked with helping and supporting a human worker must interleave information gathering actions with proactive tasks of its own, an approach that has been referred to as active goal recognition. In this paper we describe a partially observable model for online intention recognition, show some preliminary experimental results and discuss some of the challenges present in this family of problems.

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Juan Carlos Saborio, Joachim Hertzberg. 2024-11-26. Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning. https://arxiv.org/abs/2411.17326

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