# Safe Multimodal Communication in Human-Robot Collaboration

arXiv: https://arxiv.org/abs/2308.03690 · HTML: https://mlsanity.com/paper/2308.03690/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 19 references that are in the map.
- First posted on arXiv 7 Aug 2023.

## Builds on (most cited first, 4 of 4)

- [MediaPipe: A Framework for Building Perception Pipelines](https://mlsanity.com/paper/1906.08172/) (2019)
- [A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS](https://mlsanity.com/paper/2109.09908/) (2021)
- [Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey](https://mlsanity.com/paper/2202.07732/) (2022)
- [A Safety-Aware Kinodynamic Architecture for Human-Robot Collaboration](https://mlsanity.com/paper/2103.01818/) (2021)

## Abstract (arXiv)

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.