Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning

• URL: http://arxiv.org/abs/2411.17326v1
• Date: Tue, 26 Nov 2024 11:13:00 GMT
• Title: Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning
• Authors: Juan Carlos Saborio, Joachim Hertzberg,
• Abstract summary: Intention recognition plays a vital role in the design and development of automated assistants that can support humans in their daily tasks. 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.
• Score: 2.693342141713236
• License:
• 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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