Talk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agent

Collaborative robot (cobot) systems are expected to be easy to operate. However, reacting to an error message may not be as intuitive as operating the cobot. This paper explores the integration of a multi-modal conversational agent (text, touch and voice) into a robotic system to improve the robot-user interaction during error handling. The conversational agent enables text- and voice-based interactions to improve user experience and efficiency. We evaluate a prototype in a user test with experts and novices in order to assess its effectiveness, usability, and impact on user-robot interaction and show that conversational agents can enhance collaboration between robots and users, particularly benefiting novices.

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Publication Details

Published
2024-08-26
DOI
https://doi.org/10.1145/3670653.3677484
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.69
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article

Talk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agent

Florian Laquai, Alessandra Zarcone, David Schwarz
2 citations
AI in Service Interactions
0.69
article

Talk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agent

Florian Laquai, Alessandra Zarcone, David Schwarz
article en
2 citations

Abstract

Collaborative robot (cobot) systems are expected to be easy to operate. However, reacting to an error message may not be as intuitive as operating the cobot. This paper explores the integration of a multi-modal conversational agent (text, touch and voice) into a robotic system to improve the robot-user interaction during error handling. The conversational agent enables text- and voice-based interactions to improve user experience and efficiency. We evaluate a prototype in a user test with experts and novices in order to assess its effectiveness, usability, and impact on user-robot interaction and show that conversational agents can enhance collaboration between robots and users, particularly benefiting novices.

Technische Hochschule Augsburg (DE), KUKA (Germany) (DE)
Openalex Percentile: Top 25%
AI in Service Interactions
0.69
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