CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction

Understand

Human-robot interaction (HRI) is a rapidly growing field that encompasses social and industrial applications.

• Machine learning plays a vital role in industrial HRI by enhancing the adaptability and autonomy of robots in complex environments.
• However, data privacy is a crucial concern in the interaction between humans and robots, as companies need to protect sensitive data while machine learning algorithms require access to large datasets.
• Federated Learning (FL) offers a solution by enabling the distributed training of models without sharing raw data.