S3 – Navigation and manipulation with a mobile robot and arm, and LLM interaction
il y a 2 jours
S3 – Navigation and manipulation with a mobile robot and arm, and LLM interaction Référence 2025-38074 Based in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to create value. Within the LIST, the Laboratory of Vision for Modeling and Localization (LVML) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems. The laboratory's research themes include 3D localization, segmentation, characterization and vision for robotics. Domaine Contrat Stage S3 – Navigation and manipulation with a mobile robot and arm, and LLM interaction Autonomous mobile manipulators—robots capable of navigating and interacting with objects in their environment—are becoming central to modern robotics applications, from industrial automation to service robotics and logistics. Despite significant progress in perception and control, high-level task planning and reasoning remain major challenges. Recent advances in Large Language Models (LLMs) have shown their remarkable ability to reason, plan, and generalize from high-level instructions. This opens new possibilities for integrating language-based reasoning into robotic systems, allowing them to understand complex tasks, generate manipulation plans, and adapt to dynamic environments. Missions Reviewing existing literature on the subject Downloading and testing the best approaches identified Implementing a pipeline in simulation Implementing a pipeline on a real robot Job-related benefits Working in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow Discovering a rich ecosystem: privileged connections between the industrial and academic sectors Conducting research autonomously and creatively: encouragement to publish results (scientific articles, patents, open-source codes…) Join a young and dynamic team Benefit from an internal computing infrastructure with more than 300 state-of-the-art GPUs Receive a stipend between €1300 and €1400 per month Have the opportunity to continue with a PhD or as a research engineer after the internship Receive a 75% reimbursement on public transportation costs, and benefit from the “mobili-jeune” aid to reduce rent costs… Qualifications Students in their 5th year of studies (Master 2) or gap year Python proficiency in a deep learning framework (preferably PyTorch) #J-18808-Ljbffr
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