Intern – Optimisation of ROS FlexBe for a Self Guided Vehicle


As part of a partnership with the company Noovelia Inc. (Quebec, Canada) which designs and produces line follower AGVs. Our team’s mission is to offer a fully autonomous navigation solution for industrial AGVs.

In this context, multiple topics are proposed for mid-to long-term internships. We aim to offer a stimulating environment, working on high-tech robotic platforms as real industrial AGVs with the latest high-tech sensors (SICK Lidars, Microstrains IMUs…). The following internship proposals are broad so that they can be discussed and oriented depending on candidate profile and project requirement.

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    FlexBE is used to create complex robot behaviours based on state machines that can easily be composed via the provided drag & drop editor. Our team has a set of robotic system behaviours implemented on FlexBe and we want to optimize the overall state machine architecture. The intern’s mission is to optimize the actual ROS FlexBe architecture and to develop a recovery modes for our Self Guided Vehicle.

    Department: Génie électrique ou Génie Mécanique
    Professor: Sousso Kelouwani
    Education: Bachelor's Degree
    Compensation: Scholarship Available

    Required profile

    We are interested in recruiting students for an internship of minimum 6 months.

    • Programming language: C++/Python
    • Tools: ROS1
    • Experience: Strong knowledge and experiences with FlexBe or another state machine framework
    • Others: Git, Linux

    CV/Resume - pdf, docx or txt only.

    Cover Letter - pdf, docx or txt only.