25 citations · 67 across the 8 of their papers we have counts for
5 papers · 1 filter
Robot_gym: accelerated robot training through simulation in the cloud with ROS and Gazebo
Víctor Mayoral Vilches, Alejandro Hernández Cordero, Asier Bilbao Calvo +2
Rather than programming, training allows robots to achieve behaviors that generalize better and are capable to respond to real-world needs. However, such training requires a big am…
An information model for modular robots: the Hardware Robot Information Model (HRIM)
Irati Zamalloa, Iñigo Muguruza, Alejandro Hernández +2
Today's landscape of robotics is dominated by vertical integration where single vendors develop the final product leading to slow progress, expensive products and customer lock-in.…
Hierarchical Learning for Modular Robots
Risto Kojcev, Nora Etxezarreta, Alejandro Hernández +1
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 s…
Towards self-adaptable robots: from programming to training machines
Víctor Mayoral, Risto Kojcev, Nora Etxezarreta +2
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 mo…
Evaluation of Deep Reinforcement Learning Methods for Modular Robots
Risto Kojcev, Nora Etxezarreta, Alejandro Hernández +1
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…