Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Etxezarreta, Nora"'
We argue that hierarchical methods can become the key for modular robots achieving reconfigurability. We present a hierarchical approach for modular robots that allows a robot to simultaneously learn multiple tasks. Our evaluation results present an
Externí odkaz:
http://arxiv.org/abs/1802.04132
We argue that hardware modularity plays a key role in the convergence of Robotics and Artificial Intelligence (AI). We introduce a new approach for building robots that leads to more adaptable and capable machines. We present the concept of a self-ad
Externí odkaz:
http://arxiv.org/abs/1802.04082
We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics using traditional robotic tools that extend state-of-the-art DRL implementations and provide an end-to-end approach which trains a robot directly from joint states
Externí odkaz:
http://arxiv.org/abs/1802.02395
We argue that hardware modularity plays a key role in the convergence of Robotics and Artificial Intelligence (AI). We introduce a new approach for building robots that leads to more adaptable and capable machines. We present the concept of a self-ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50ad071ed75c67eaf84bd68f718da9a6
http://arxiv.org/abs/1802.04082
http://arxiv.org/abs/1802.04082