4 citations · 10 across the 3 of their papers we have counts for
3 papers
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…