Project

DESCRIPTION:

The long-lasting idea of human-robot cooperation has thrived remarkably in the last decade and cobots are being employed increasingly to provide diversified services which has led to more and more human-robot co-working environments. Nonetheless, there are pervasive situations in which inherent constraints of the co-working environment jeopardize the safety and task achievability of such scenarios. To tackle this challenge in real-world scenarios, deeper modalities of human-robot interactions, such as implicit and explicit communications, should be employed. The primary objective of this work is to develop a planning method that deliberately computes such explicit communication signals jointly with Cobots’ actions to ensure the safety and efficiency of human-Cobots interactions.