Title
Robustness of a distributed neural network controller for locomotion in a hexapod robot
Abstract
The robustness of a distributed neural-network controller for locomotion based on insect neurobiology has been used to control a hexapod robot. The robustness of the controller is investigated experimentally. Disabling any single sensor, effector, or central component did not prevent the robot from walking. Furthermore, statically stable gaits could be established using either sensor input or central connections. Thus, a complex interplay between central neural elements and sensor inputs is responsible for the robustness of the controller and its ability to generate a continuous range of gaits. These results suggest that biologically inspired neural-network controllers may be a robust method for robotic control
Year
DOI
Venue
1992
10.1109/70.143348
Robotics and Automation, IEEE Transactions  
Keywords
Field
DocType
distributed control,mobile robots,neural nets,stability,distributed neural network controller,hexapod robot,insect neurobiology,legged robots,robustness
Computer science,Robustness (computer science),Control engineering,Neural network controller,Hexapod
Journal
Volume
Issue
ISSN
8
3
1042-296X
ISBN
Citations 
PageRank 
0-13-119892-0
39
26.01
References 
Authors
4
4
Name
Order
Citations
PageRank
Hillel J. Chiel1281133.42
Randall D. Beer21604257.51
Roger D. Quinn3952208.66
Kenneth S. Espenschied419152.26