Visual Navigation with Machine Learning and Map
il y a 5 jours
The goal of the FM-Nav project at NAVER LABS Europe is to design and develop models and methods that enable robots to navigate in complex real-world environments. We are working on the creation of autonomous agents capable of high-level visual reasoning and solving tasks requiring navigation in an unknown environment, such as a building, an apartment. Our current methodology addresses this problem in an "Active Neural SLAM" mode, i.e. no pre-existing maps or representations are required, the agents builds maps on the fly. These maps are metric and contain different content: occupancy, semantics, and latent representations, which are learned from different signals like RL, IL, SSL etc. These maps are used by different motion planners, symbolic and learned. Understanding the existing navigation methodology developed at NAVER LABS Europe Pre-processing of (already available) maps and scans Development of algorithms, which dynamically align these data with the dynamic maps collected and estimated by the agent itself Exploiting the combined data in a hybrid navigation algorithm **Supervisors**: Christian Wolf Required skills - Ability to propose and implement research ideas, evaluate them empirically, analyze them deeply and iterate on them. - Ability to perform collaborative research and work in a team. - Strong competencies with scientific computing platforms and programming languages such as PyTorch and Tensorflow. - Relevant experience in machine learning References Application instructions Please note that applicants must be registered students at a university or other academic institution and that this establishment will need to sign an 'Internship Convention' with NAVER LABS Europe before the student is accepted. About NAVER LABS NAVER LABS is a world class team of self-motivated and highly engaged researchers, engineers and interface designers collaborating together to create next generation ambient intelligence technology and services that are rich with the organic understanding they have of users, their contexts and situations. Since 2013 LABS has led NAVER’s innovation in technology through products such as the AI-based translation app ‘Papago’, the omni-tasking web browser ‘Whale’, the virtual AI assistant ‘WAVE’, in-vehicle information entertainment system ‘AWAY’ and M1, the 3D indoor mapping robot. The team in Europe is multidisciplinary and extremely multicultural specializing in artificial intelligence, machine learning, computer vision, natural language processing, UX and ethnography. We collaborate with many partners in the European scientific community on R&D projects. NAVER LABS Europe is located in the south east of France in Grenoble. The notoriety of Grenoble comes from its exceptional natural environment and scientific ecosystem with 21,000 jobs in public and private research. It is home to 1 of the 4 French national institutes in AI called MIAI (Multidisciplinary Innovation in Ai) It has a large student community (over 62,000 students) and is a lively and cosmopolitan place, offering a host of leisure opportunities. Grenoble is close to both the Swiss and Italian borders and is the ideal place for skiing, hiking, climbing, hang gliding and all types of mountain sports.
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