Abstract: Due to the computationally intensive nature of Deep Reinforcement Learning (DRL), it is challenging to implement and deploy a DRL model in an embedded system with limited computing resources ...
Abstract: This paper tackles category-level pose estimation of articulated objects in robotic manipulation tasks and introduces a new benchmark dataset. While recent methods estimate part poses and ...
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