2021 - 2024 Project Pacbot (ANR PRCE - Partner investigator): The general objective of the Pacbot project is to design a semi-autonomous cobotic system for the assistance of operators in an industrial context, capable of choosing, synchronising and coordinating tasks distributed between the human and the cobot by adapting to different types of variability of professional gestures, while anticipating dangerous situations.

2018 - 2022 Project Prog4Yu (ANR PRCE - main investigator): The general objective of the prog4Yu project is to develop a “programming by demonstrations” approach to cobots for production operators who are not experts in programming languages but have the expertise on performing production tasks, while ensuring that this approach is acceptable and intelligible to these operators. To successfully carry out the various facets of this multidisciplinary project, the consortium includes academic partners in computer/robotics and ergonomic psychology as well as an industrial partner in the field of robotics.

2018 - 2020 Project Cobo4You (IDEX of Grenoble funding): Learning by demonstration of trajectories for a Cobot. The project consists in developing new trajectory learning algorithms for a cobot by kinesthetic manipulation. The project finances a post-doctoral student over a 12-month period.

2017 - 2019 : Project of Industrial maturation PDDL4J (SATT Linksium funding): The project consists of maturing the PDDL4J library with a view to creating a start-up at the beginning of 2019 and initiating industrial transfers.

2014 - 2017 Project CloudAssistant (Industrial funding): Use automated planning to automate operating procedures for a cloud computing infrastructure. The project finance a PhD. Student over 3 years.

2018 Project ACobotIDE (Internal LIG founding): The project consists in developing and evaluating an Integrated Development Environment (IDE) for programming a cobot coupling its direct handling with more traditional interface elements such as a remote control/tablet. The project is carried out in partnership with the IIHM of the Grenoble Computer Science Laboratory.

2017 Projet Human-Cobot Interaction (SFR Innovacs funding): This project is a multidisciplinary project between the Laboratoire Interdisciplinaire de psychologie and the Laboratoire d'Informatique de Grenoble which objective is to study human-robot interactions in industrial environments.

2016 - 2017 Project PEPS EUROPA (CNRS funding): The project consists in developing learning techniques to allow operators on a production line to program robots by kinesthetic manipulations without the intervention of experts.

2016 Project of industrial prematuration PDDL4J (Carnot LSI funding): The objective of the project is to prematurely develop the PDDL4J library in order to develop industrial partnerships around automated planning tools.

2015 Project Baxter : A cobotic platform (Labex Persyval funding): The project consists in acquiring the Baxter robot to build a cobotic platform within the Grenoble Computer Science Laboratory.

2014 - 2015 Projet Study of the acceptability criteria of a companion robot (SFR Innovacs funding): This project is a pluridisciplinary project whose objective is to gather people's opinions on the use of a robot companion for their child in different specific situations (homework support, supervision, comfort, story reading, games, etc.) in order to determine the criteria of their acceptability.

2018 - 2022 Project Circular (funding IDEX CrossDisciplinaryPrograms). The Circular project focuses on circular industrial systems and the plant of the future. It includes ten laboratories of the Grenoble site. In this project I am responsible for the task cobotics.

2018 Project PEPS Human factors for cobotic interaction (CNRS Funding): The objective of the project is to design a software infrastructure to detect interaction situations that are not satisfactory from the user's point of view and to propose adaptations to the cobot's behaviour.

2014 - 2018 ANR Project SOMBRERO (ANR funding): SOMBRERO is a proof-of-concept research project that proposes an original approach to develop socio-communicative behaviors on a large range of multimodal face-to-face interactions: exchange of glances, gesturing between each other, deictic pointing, task-oriented dialogue and decision making. We propose here to train humanoid robots by immersive remote control i.e. “beaming” in everyday-life environments.

2012 - 2016 ANR Project MoCA (Mon petit monde de compagnons artificiels): MoCA is a fundamental research project that studies artificial companions (virtual characters and personal robots) and their value for users in everyday life situations. Artificial companions are intelligent interactive systems designed to maintain a privileged long-term relationship with the user.

2014 Projet PEPS ACCROSH (CNRS funding): The project aims to equip humanoid robots with social skills by learning from traces of Human-Robot Interaction obtained by immersive tele-operation (beaming) behaviour models that can be used by autonomous robots.