The rhythmic locomotion of animals, such as walking, swimming, and flying,
is controlled by groups of neurons called central pattern generators (CPGs)
. CPGs can autonomously produce rhythmic output, but under normal biologica
l conditions make extensive use of peripheral sensory feedback. Models of C
PGs have been used to control robot locomotion, but none of these models ha
ve incorporated sensory feedback adaptation. We have constructed an adaptiv
e CPG in an analog VLSI chip, and have used the chip to control a running r
obot leg. We show that adaptation based on sensory feedback permits a stabl
e gait even in an underactuated condition: the leg can be driven using a hi
p actuator alone while the knee is purely passive. (C) 2001 Elsevier Scienc
e B.V, All rights reserved.