This article presents a new approach for guiding a group of people using an adaptive multi agent system. For the simulations of the group of people we use social forces, with theses forces human motion is controlled ...

Robots must develop the ability to socially navigate in uncontrolled urban environments to be able to be included in our daily lives. This paper presents a new robot navigation framework called the adaptive social planner ...

In this work, we propose a gesture-based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a new dataset of humans ...

This paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formation into four possible categories --colleagues, ...

Collaborative AI to approach or to accompany people using social robots will be a fundamental robotics field in the near future. If we desire to share and to collaborate with social robots during the development of our ...

This work presents a novel approach for optimizing locally the work of cooperative robots and obtaining the minimum displacement of humans in a guiding people mission. This problem is addressed by introducing a “Discrete ...

The development of social robots capable of interacting with humans is one of the principal challenges in the field of robotics. More and more, robots are appearing in dynamic environments, like pedestrian walkways, ...

We present a new model for people guidance in urban settings using several mobile robots, that overcomes the limitations of existing approaches, which are either tailored to tightly bounded environments, or based on ...