Raw Data for: Scalable Co-Optimization of Morphology and control in Embodied Machines Trials from Nov 2, 2015 represent phase offset controllers for resolution 1000 (10^3), trails from Nov 9, 2015 represent phase offset controllers of resolution 125 (5^3), and trails from 2016 represent neural network controllers with resolutions 1000 (10^3). This data was produced by the code found at: https://github.com/ncheney/morphological-innovation-protectio
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learn...
How can neural and morphological computations be effectively combined and realized in embodied close...
Morphogenetic engineering aims to achieve functional, self-organized but controllable structures in ...
<p>Raw Data for: Scalable Co-Optimization of Morphology and control in Embodied Machines</p> <p>Tri...
A large body of animation research focuses on optimization of movement control, either as action seq...
Evolutionary robotics is a promising approach to overcom-ing the limitations and biases of human des...
In this paper, we investigate the influence of an agent's morphology on its neural controller. Our m...
Evolutionary robotics is a promising approach to overcom-ing the limitations and biases of human des...
The ambulatory capabilities of legged robots offer the potential for access to dangerous and uneven ...
One key idea behind morphological computation is that many difficul-ties of a control problem can be...
We present three case studies in which we discuss conceptual and technical aspects of the applicatio...
A challenge in evolutionary robotics is the in parallel adaptation of morphologies and controllers. ...
Dataset for the manuscript entitled: Brain-machine interface learning is facilitated by specific pat...
The data are related to the following article: Antonietti Alberto, Martina Dario, Casellato Claudi...
Thesis (Ph.D.)--University of Washington, 2020This thesis contains several projects under two main h...
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learn...
How can neural and morphological computations be effectively combined and realized in embodied close...
Morphogenetic engineering aims to achieve functional, self-organized but controllable structures in ...
<p>Raw Data for: Scalable Co-Optimization of Morphology and control in Embodied Machines</p> <p>Tri...
A large body of animation research focuses on optimization of movement control, either as action seq...
Evolutionary robotics is a promising approach to overcom-ing the limitations and biases of human des...
In this paper, we investigate the influence of an agent's morphology on its neural controller. Our m...
Evolutionary robotics is a promising approach to overcom-ing the limitations and biases of human des...
The ambulatory capabilities of legged robots offer the potential for access to dangerous and uneven ...
One key idea behind morphological computation is that many difficul-ties of a control problem can be...
We present three case studies in which we discuss conceptual and technical aspects of the applicatio...
A challenge in evolutionary robotics is the in parallel adaptation of morphologies and controllers. ...
Dataset for the manuscript entitled: Brain-machine interface learning is facilitated by specific pat...
The data are related to the following article: Antonietti Alberto, Martina Dario, Casellato Claudi...
Thesis (Ph.D.)--University of Washington, 2020This thesis contains several projects under two main h...
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learn...
How can neural and morphological computations be effectively combined and realized in embodied close...
Morphogenetic engineering aims to achieve functional, self-organized but controllable structures in ...