pPolitecnico di Torino invites applications for a research fellowship in video understanding for robotic applications. It addresses learning action-level representations from videos to instruct humanoid robots in long-horizon manipulation tasks. /ppThe project will develop hierarchical, affordance-aware, and goal-conditioned representations feeding motor policies based on reinforcement and imitation learning, with emphasis on large-scale video understanding for human behavior analysis. /p #J-18808-Ljbffr
📌 Robotics Engineer: Master Low-Level Manipulations from Demos (Italia)
🏢 Politecnico Di Torino
📍 Italia
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