2015
Trunk stabilization of multi-legged robots using on-line learning via a NARX neural network compensator
IROS 2015poster
The objective of this work is to achieve disturbance rejection and constant orientation of the trunk of a multi-legged robot. This is significant when payloads (such as cameras, optical systems, armaments) are carried by the robot. In particular, this paper presents an application of an on-line lear…