Biologically inspired approaches to robotics: what can we learn from insects?

Authors:
Randall D. Beer;Roger D. Quinn;Hillel J. Chiel;Roy E. Ritzmann
Affiliations:
Department of Computer Engineering and Science and Department of Biology, Case Western Reserve University;The Department of Mechanical and Aerospace Engineering, Case Western Reserve University;The Department of Biology and Department of Neuroscience, Case Western Reserve University;The Department of Biology and Department of Neuroscience, Case Western Reserve University
Venue:
Communications of the ACM
Year:
1997

Citing 4
Cited 27

Heterogeneous neural networks for adaptive behavior in dynamic environments

Advances in neural information processing systems 1
A distributed neural network architecture for hexapod robot locomotion

Neural Computation
Evolving dynamical neural networks for adaptive behavior

Adaptive Behavior
Leg coordination mechanisms in the stick insect applied to hexapod robot locomotion

Adaptive Behavior

Using autonomous robotics to teach science and engineering

Communications of the ACM
Concurrent programming for the control of hexapod walking

ACM SIGAda Ada Letters
Walking Robots and the Central and Peripheral Control of Locomotion in Insects

Autonomous Robots
“Gastrobots”—Benefits and Challenges of Microbial Fuel Cells in FoodPowered Robot Applications

Autonomous Robots
VisionBug: A Hexapod Robot Controlled by Stereo Cameras

Autonomous Robots
Omnidirectional Locomotion for Quadruped Robots

RoboCup 2001: Robot Soccer World Cup V
Machine Experiments and Theoretical Modelling: from Cybernetic Methodology to Neuro-Robotics

Minds and Machines
Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning

International Journal of Robotics Research
A Reflexive Neural Network for Dynamic Biped Walking Control

Neural Computation
Crossing Large Gaps: A Simulation Study of Stick Insect Behavior

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Modular Reactive Neurocontrol for Biologically Inspired Walking Machines

International Journal of Robotics Research
Sensor-driven neural control for omnidirectional locomotion and versatile reactive behaviors of walking machines

Robotics and Autonomous Systems
A bio-inspired predictive sensory-motor coordination scheme for robot reaching and preshaping

Autonomous Robots
Bio-inspired sensory-motor coordination

Autonomous Robots
Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies

Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Genetic algorithm-based optimal bipedal walking gait synthesis considering tradeoff between stability margin and speed

Robotica
Sociotechnical Interaction and Cyborg-Cyborg Interaction: Transforming the Scale and Convergence of HCI

The Information Society
A bionic gait programming algorithm for hexapod robot

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
The evolution of reaction-diffusion controllers for minimally cognitive agents

Artificial Life
Self-modeling systems

IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
Stable trajectory generator: echo state network trained by particle swarm optimization

CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
The utility of evolving simulated robot morphology increases with task complexity for object manipulation

Artificial Life
A biologically inspired approach to feasible gait learning for a hexapod robot

International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
An approach to stable walking over uneven terrain using a reflex-based adaptive gait

Journal of Control Science and Engineering
A forward / inverse motor controller for cognitive robotics

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Firefly flashing synchronization as inspiration for self-synchronization of walking robot gait patterns using a decentralized robot control architecture

ARCS'10 Proceedings of the 23rd international conference on Architecture of Computing Systems
A comparative study of tools for visualisation of state-based spatial multi-agent models

Proceedings of the 6th Balkan Conference in Informatics

Quantified Score

Hi-index	48.23

Biologically inspired approaches to robotics: what can we learn from insects?

Quantified Score

Visualization

Abstract