[robotics-worldwide] [jobs] PhD Position in Human-Robot Interaction: Joint position between APSYS and Sorbonne University (EIT Digital Industrial Doctorate Programme)

Mohamed CHETOUANI mohamed.chetouani at sorbonne-universite.fr
Sun Mar 1 09:24:10 PST 2020


Fully funded PhD position in Human-Robot Interaction between APSYS and Institute for Intelligent Systems and Robotics at Sorbonne University (EIT Digital Industrial Doctorate Programme)

The EIT Digital Industrial Doctorate is a new PhD programme that integrates scientific and technical research work with ‘hands on’ innovation and entrepreneurship training. 
The programme involves partner universities, institutes and companies and is implemented by EIT Digital DTCs. 
Geographical mobility (6 months) as well as an internship-based business development venture (6 months) are fully embedded within the doctoral work.
The thesis is funded by EIT Digital and APSYS SAS (https://urldefense.com/v3/__http://www.apsys-airbus.com__;!!LIr3w8kk_Xxm!7ttCRZN3YjGSiSRXyPuJBNpI_2s26QS2D6Bj8BIqCtPsNelmgMfr8JMnmpVNjwSg2npgw9XB$ ).

Human-Machine Interaction in a robotized environment: adapting robot behavior to psychological and emotional trends of expected and not expected human interactors

Summary

In this thesis, we propose to develop (i) computational models of interpersonal human-robot interactions able to assess human psychological states (e.g., stress, attention) and to continuously adapt to them, as well as (ii) experimental methodologies of evaluation in real co-working scenarios. We target operational missions as well as not expected situations with non-operational humans (e.g., individual not expected to interact with the collaborative robot). Collaborative robots will be more and more deployed in a real human environment or engaged in face-to-face human interaction when accomplishing their duty. In such context, there is a need for deep and accurate understanding of psychological human co-workers. Mutual and personalized adaptation of behaviours is certainly a key element of long-term safe interactions.

APSYS will use these technological assets to
	• Simulate safety critical situations involving human to robot interactions
	• Process the output of these situations to be able to assess global safety of production process based on human and robot cooperation

Methodological approach
Taking advantage of introduction of robots in a human team, production manager can expect direct contribution from robots to safety process because:
	• Robots can in a real time manner with sensors and perception algorithms understand what happens in the process
	• With specific algorithms they can analyse emotional mood and level of stress of all human actors
	• At every time making the synthesis of (deep understanding of current situation) and (anticipation of potential trajectories and movements of all actors whatever human or robots) they will predict most dreaded behaviours or situations with criticality / probability or level of belief assessment
	• Finally, they will interact with the process to reduce probability or criticality of those situations and send alert / alarm messages for concerned human actors to influence their behaviour to avoid these dreaded situations.

Robots will be:
	• Mobile autonomous: they will move in the production space shared by human actors and other robots
	• Manipulating robots: they work on the production plant and operate in interaction with the system to assemble
	• Interacting robots: they may have interactions and concurrent tasks to share with human actors

The influence of emotional / stress load assessed from all human actors on the behaviour of human and robots, and on the general process will be a central topic of the thesis. 
Applicable Safety metric to the global process and follow-up of its variations along the process will also be possibly targeted by the thesis.

More details and application here:
https://urldefense.com/v3/__https://doctoralschool.eitdigital.eu/application/call-for-students/man-machine-interaction-robotized-environment/__;!!LIr3w8kk_Xxm!7ttCRZN3YjGSiSRXyPuJBNpI_2s26QS2D6Bj8BIqCtPsNelmgMfr8JMnmpVNjwSg2oiLNDyb$  



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Mohamed Chetouani
Professeur
Head of PIRoS team
Sorbonne Université - Campus Pierre et Marie Curie
Faculté des Sciences et Ingénierie
Institut des Systèmes Intelligents et de Robotique
CNRS UMR7222

Pyramide – Tour 55
Boîte courrier 173
4 Place Jussieu
75252 Paris Cedex 05, FRANCE

Tel : (33) 01 44 27 63 08
Email : Mohamed.Chetouani at sorbonne-universite.fr 
people.isir.upmc.fr/chetouani/



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