A multimodal study for modelling human motor performance and health in a Human -Robotics collaborative activity

International audience; New manufacturing concepts, that includes the digitalization of Human Factors, constitute a challenge of the next industry generations.

The introduction of collaborative robotics in the service of human activity at work requires that humans and machines work together.

This collaboration would impact human motor behavior of workers, with potential consequences on health.

However, no systemic approach was conducted to determine the effects of collaborative robotics introduction on performance and health in workers.

The main scientific issue is to develop generic approach of experimental designs and multimodal measurements protocols with the aim to characterize different production situations.

The underlying objective is to qualify predictors of worker’s health from the human-centered databases.

The first exploratory study aims to contribute to analyze the biomechanical, behavioral and psychological factors of the motor performance and to identify new risks related to human-robot interaction.

The second study aims at validating new multimodal models on an experimental laboratory platform that represents, as much as possible, the constraints and real needs of collaborative human-machine framework.

My workflow will consist of design of experiments, human measurements and data analyzing for making predictions relative to the health of workers.