Behaviors.ai is a Common Laboratory funded by the ANR (French Research Agency) and involving people from Hoomano and from the SMA team of the LIRIS laboratory. It has started in February 2017 and will last three years.



Latest news

10 août 2018

First workshop organised by behaviors.ai

Behaviors.ai is looking for new talents
9 février 2018

Behaviors.ai is looking for new talents!

We are currently seeking for two enthusiastic research engineers to help us develop better social robots. Applications for internships are…

7 juillet 2017

Behaviors.ai at Futur IA

Behaviors.ai was at the event #FuturIA in Paris in February.

For more information about our previous activities, see our blog!


Team behaviors

The Behaviors.ai (Behaviors.ai is an Engine enHancing verbAl and non­Verbal InteractiOns of RobotS, based on Artificial Intelligence) joint laboratory will develop a smart interactional engine to provide more empathic, intuitive and natural human-robot interactions. This project gathers skills from LIRIS researchers in Artificial Intelligence and from Hoomano, a specialized firm in software development for social robots. Behaviors.ai targets to transfer fundamental research results, especially in developmental learning, to mass-market applications in robots.

According to a lot of research studies, obtaining better natural spoken language recognition will drastically improve our interactions with machines. Even if significant progress is currently made in this domain, the recognition rates are still not sufficient. Moreover, the correct recognition of a sentence may still not be enough to characterize the context of the interaction. To obtain more empathic interactions, the robot has to dynamically understand the dialogue, which needs it to adapt its behavior (attitude, gaze orientation, type of behavior, …) to the context and to progressively learn new interactional schemas. For these reasons, Behaviors.ai focuses on the understanding of the interactional context and on providing an appropriate and accurate response.




The objectives of Behaviors.ai are to improve the context perception and the accuracy of the given response to provide more empathic human-robots interactions. This need to build mechanisms to interpret interactions based on verbal and non-verbal (gestures, attitudes, facial expressions, emotions, look, context) cues. The user experience has thus to be rethought in this robotic context, which leads to changes in methodologies of conception to improve the human-robot coupling. This project does not target to improve a specific perceptual method but to propose smart ways to combine them to react appropriately, leading to more accurate and realistic interactions, reflecting a better adaptation of the robot to its environment.

This research project targets to develop an interactional engine that will include some of the state of the art methods and new innovative solutions, especially based on promising results in developmental learning and in cognitive robotics. It is part of the innovative development of Hoomano consisting in providing generic tools that can be deployed on any robotic platform to become a standard engine on the market. In addition to technical issues related to the diversity of robotic platforms, this objective raises a key research challenge: the engine has to be able to adapt dynamically to the interaction capabilities of the robot and to mature continuously depending on the effective and interesting interactions with its environment.




  • Xavier Basset — CEO Hoomano
  • Amélie Cordier — CSO Hoomano
  • Salima Hassas — Professor at University Lyon 1 / LIRIS
  • Mathieu Lefort — Associate Professor at University Lyon 1 / LIRIS

Active members

  • Laurianne Charrier — Intern (February – August 2018)
  • Brice Denoun — Intern (February – August 2018)
  • Alexandre Galdeano — PhD Student (from July 2017)
  • Caroline Montassier — Intern (March – August 2018)

Former members

  • Marielle Bosse-Platière — Intern (April – September 2017)
  • Clément Cottet — Intern (September 2017 – January 2018)
  • Alix Gonnot — Intern (February – July 2017)
  • Yu-Guan Hsieh — Intern (June – August 2017)

Other collaborators

  • Pierre-Elliott Thiboud — Intern (April – June 2017)



  • Galdeano, A., Gonnot, A., Cottet, C., Hassas, S., Lefort, M., & Cordier, A. (2018). Developmental learning for social robots in real-world interactions. In First Workshop on Social Robots in the Wild at the 13th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2018)
  • Alix Gonnot – MSc Internship report (2017)


They talk about us


MARCH 2018

  • 1st of March 2018.1st Workshop organized by Behaviors.ai


MARCH 2017

  • 23rd of March 2017. Behaviors.ai is selected to present a demo to the French President at #FranceIA.
  • 17th of March 2017. Hoomano and Behaviors.ai are partners of the IHM & IA Day in Paris. They also participate by presenting a demo.



  • 23rd of February 2017. Behaviors.ai is presenting its first results at #FuturIA in Paris.
  • 1st of February 2017. Behaviors.ai is officially starting.


Hoomano needs new talents
We are currently seeking for two enthusiastic research engineers to help us develop better social robots. Applications for internships are also welcome. 

If you are interested in developmental robotics, human-robot interactions, machine learning and, more broadly on artificial intelligence, just contact us with the form below. We are looking forward to meeting you!


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See our job offer!


If you want to contact us, or to apply for a position, please, use this form.