Adaptive Neural Control of Walking Robots (Engineering Research Series ERS 5)

An important title in the Engineering Research Series
Adaptive Neural Control of Walking Robots brings together two important areas of technological development: adaptive neural control and mobile/walking robots. The development and management of locomotory

robots has not only produced machines that are useful on uneven ground, for climbing walls, in dangerous or hostile environments, and in remote situations, but has also been responsible for some excellent engineering and

technological solutions in the field of responsive

or adaptive control.

Adaptive Neural Control of Walking Robots will be of interest to engineers and research establishments working on the practical or industrial application of climbing and walking robots. The book will also interest those
concerned with robot control systems, adaptive neural control, and applications of autonomous or programmable machine behaviour in multijointed
systems.

COMPLETE CONTENTS:

Introduction and background

A generic intelligent control hierarchy

Insect observations and hexapod design

Models for co–ordination of walking

Leg trajectory planning and generation

Hexapod kinematics and dynamics

The theory of stable adaptive neural control for open–chain systems

Stable neural control of systems with constraints

and closed kinematic chains

Hexapod experiments

Summary, conclusions, and outlook.