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Wandercraft is expanding its Perception and Navigation Team to advance autonomous robot perception, mapping, and navigation. The team collaborates with AI & Control and other R&D groups to push the state of the art in perception, machine learning, and model-based control.
Responsibilities include sensor selection, literature reviews, proposing and presenting novel algorithms, and testing on real robots as well as simulations. Travel to customer sites may be required to validate performance.
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Our Perception and Navigation Team is expanding to meet new challenges!
To serve new industrial use cases ever more reliably, our humanoid robot must be able to detect multiple objects of interest and estimate their poses. It must also be able to understand its environment in order to navigate safely and autonomously.
Our team is responsible for developing the knowledge and the codebase needed to address these challenges. We explore a range of state-of-the-art techniques, whether based on machine learning, classical computer vision, or model-based control.
The Perception and Navigation team is part of the AI & Control department and works closely with other members of this department. It also collaborates regularly with other R&D teams: embedded software, electronics, and mechanics.
Your responsibilities may include:
Qualifications : Engineering degree or PhD in perception, navigation, machine learning, robotics, or a similar field.Experience :We are looking for various seniority levels. Academic experience will be highly valued, particularly in relation to perception or the use of point clouds, navigation or optimal control, machine learning, etc.Ideally, you have experience in software development (Python/C++), particularly in a team (version control tools, modularity, responding to specifications, continuous integration, etc.).You are creative and innovative. You are comfortable in developing new things with a limited existing base and making prototypes (personal or professional robotics projects are valued).You enjoy experimental work and adapting algorithms to the constraints of real-world environments and commercial products.You are comfortable with general algorithmic, and in particular with linear algebra (matrix calculations), and physical modeling (reference frame changes, odometry, etc.). You are rigorous, able to proofread your work, and explain your calculations or algorithms clearly.You are curious and have good analytical skills, enabling you to monitor technological developments effectively and learn from scientific literature or meetings at conferences.Skills (hard and softskills) :Python - Expert levelC++ - Expert levelVision (feature detection, mapping, SLAM) - Expert levelNavigation (path planning, path tracking…) - Expert levelMachine learning (data analysis, augmentation, labeling, validation) - Autonomous levelRobotics (kinematics, odometry, real data analysis) - Autonomous levelLinear algebra, numerical optimization - Autonomous levelControl systems (observers, controllers) - Basic knowledgeContinuous analysis of the state of the art in the field - Autonomous levelSoftware development best practices, continuous integration, automated testing - Autonomous level