Figures
"RunBot", neural controlled robot demonstrating dynamic, biped walking
Dynamic, biped walking is a difficult motor coordination problem for robots. "RunBot," shown here, contains two joint motors and two hip motors and an upper-body component. These actuators are dynamically controlled by a neural network that can adapt via simulated synaptic plasticity to novel situations, such as a change in the terrain. This way, RunBot's walking pattern looks rather human-like (see Video S2 5.1 MPG), and the little machine successfully tackles difficult walking situations (see Manoonpong et al, e134).
Citation: (2007) PLoS Computational Biology Issue Image | Vol. 3(7) July 2007. PLoS Comput Biol 3(7): ev03.i07. https://doi.org/10.1371/image.pcbi.v03.i07
Published: July 27, 2007
Copyright: © 2007 Manoonpong et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dynamic, biped walking is a difficult motor coordination problem for robots. "RunBot," shown here, contains two joint motors and two hip motors and an upper-body component. These actuators are dynamically controlled by a neural network that can adapt via simulated synaptic plasticity to novel situations, such as a change in the terrain. This way, RunBot's walking pattern looks rather human-like (see Video S2 5.1 MPG), and the little machine successfully tackles difficult walking situations (see Manoonpong et al, e134).