人間とロボットの協働における安全なマルチモーダルコミュニケーション
Safe Multimodal Communication in Human-Robot Collaboration
音声とジェスチャーを統合したマルチモーダルな指示認識と安全層を組み合わせ、人間とロボットの協働作業を安全かつ効率的に実現するフレームワークを提案した。
著者: Davide Ferrari, Andrea Pupa, Alberto Signoretti, Cristian Secchi
分類: cs.RO, cs.AI
原文アブストラクト
The new industrial settings are characterized by the presence of human and robots that work in close proximity, cooperating in performing the required job. Such a collaboration, however, requires to pay attention to many aspects. Firstly, it is crucial to enable a communication between this two actors that is natural and efficient. Secondly, the robot behavior must always be compliant with the safety regulations, ensuring always a safe collaboration. In this paper, we propose a framework that enables multi-channel communication between humans and robots by leveraging multimodal fusion of voice and gesture commands while always respecting safety regulations. The framework is validated through a comparative experiment, demonstrating that, thanks to multimodal communication, the robot can extract valuable information for performing the required task and additionally, with the safety layer, the robot can scale its speed to ensure the operator's safety.
