Walknet comprises an artificial neural network that allows for the simulation of a
considerable amount of behavioral data obtained from walking and standing stick insects. It …

Decentralization is a central characteristic of biological motor control that allows for fast
responses relying on local sensory information. In contrast, the current trend of Deep …

Controlling the six legs of an insect walking in an unpredictable environment is a
challenging task, as many degrees of freedom have to be coordinated. Solutions proposed …

This paper proposes the use of evolutionary fuzzy control for a wall-following hexapod robot.
The data-driven fuzzy controller (FC) is learned through an adaptive group-based differential …

Despite substantial advances in many different fields of neurorobotics in general, and
biomimetic robots in particular, a key challenge is the integration of concepts: to collate and …

Moving in a cluttered environment with a six-legged walking machine that has additional
body actuators, therefore controlling 22 DoFs, is not a trivial task. Already simple forward …

Quadruped animals achieve agile and highly adaptive locomotion owing to the coordination
between their legs and other body parts, such as the trunk, head, and tail, that is, body–limb …

Locomotion in animals is characterized as a stable, rhythmic behavior which at the same
time is flexible and extremely adaptive. Many motor control approaches have taken …

Insects use highly distributed nervous systems to process exteroception from head sensors,
compare that information with state-based goals, and direct posture or locomotion toward …

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of
locomotive abilities and complex behaviors. The locomotive behaviors can consist of a …