Towards More Effective Human-Robot Collaboration via Accurate Pose Estimation

会议论文
发表日期：

2024年

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Miguel Á. Mateo-Casalí,
Laura Moya-Ruiz,
Andrea Caraffa,
Davide Boscaini,
Amir Hamza,
Paul Chippendale,
Fabio Poiesi,
Francisco Fraile

摘要

This paper explores the pivotal role of accurate pose estimation in enhancing Human-Robot Collaboration (HRC) effectiveness. It delves into the integration of novel AI-based zero-shot estimation algorithms within collaborative robotic platforms and discusses candidate algorithms suitable for industrial scenarios.