- 1 Beer, R.D., Chiel, H.J., Quinn, R.D., Espenschied, K. and Larsson, P. A distributed neural network architecture for hexapod robot locomotion. Neural Computation 4, 3 (1992), 356-365. Google ScholarDigital Library
- 2 Beer, R.D., Chiel, H.J. and Sterling, L.S. Heterogeneous neural networks for adaptive behavior in dynamic environments. In Neural Information Processing Systems 1, D.S. Touretzky, Ed. Morgan Kauffman, 1989, 577-585. Google ScholarDigital Library
- 3 Beer, R.D. and Gallagher, J.G. Evolving dynamical neural networks for adaptive behavior. Adaptive Behavior 1 (1992), 92-122. Google ScholarDigital Library
- 4 Beer, R.D, Ritzmann, R.E., and McKenna, T., Eds. Biological Neural Networks in Invertebrate Neuroethology and Robotics. Academic Press, San Diego, 1993.Google Scholar
- 5 Chiel, H.J., Beer, R.D., Quinn, R.D., and Espenshied, K. Robustness of a distributed neural network controller for a hexapod robot. IEEE Trans. Robotics and Automation 8, 3 (1992), 293-303.Google ScholarCross Ref
- 6 Cruse, H. What mechanisms coordinate leg movement in walking arthropods? Trends in Neuroscience 13 (1990), 15-21.Google ScholarCross Ref
- 7 Espenschied, K.S., Quinn, R.D., Beer, R.D. and Chiel, H.J. Biologically-based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot. Robotics and Autonomous Systems 18 (1996), 59-64.Google ScholarCross Ref
- 8 Espenschied, K.S., Quinn, R.D., Chiel, H.J. and Beer, R.D. Leg coordination mechanisms in stick insect applied to hexapod robot locomotion. Adaptive Behavior 1, 4 (1993), 455-468. Google ScholarDigital Library
- 9 Espenschied, K.S., Quinn, R.D., Chiel, H.J. and Beer, R.D. Biologically-inspired hexapod robot control. In Proceedings oft he Fij% International Symposium on Robotics and Manufacturing (Maui, Hawaii, Aug. 14-18, ), 1994.Google Scholar
- 10 Gallagher, J.G., Beer, R.D., Espenshied, K. and Quinn, R.D. Application of evolved locomotion controllers to a hexapod robot. Robotics and Autonomous Systems (in press).Google Scholar
- 11 Pearson, K.G. The control of walking. Scientific American 235 (1976), 72-86.Google ScholarCross Ref
- 12 Pearson, K.G. and Franklin, R. Characteristics of leg movements and patterns of coordination in locusts walking on rough terrain. InternationalJ. Robotics Research 3 (1984), 101-112.Google ScholarCross Ref
Index Terms
- Biologically inspired approaches to robotics: what can we learn from insects?
Recommendations
Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication
Bio-Inspired Computing and CommunicationThis article describes two branches of biologically inspired approaches to networks; biologically inspired computer networks and biologically inspired nanoscale biological networks. The first branch, biologically inspired computer networks, applies ...
Biologically inspired means for rank-order encoding images: a quantitative analysis
In this paper, we present biologically inspired means to enhance perceptually important information retrieval from rank-order encoded images. Validating a retinal model proposed by VanRullen and Thorpe, we observe that on average only up to 70% of the ...
A biologically inspired neurocomputing circuit for image representation
Biological vision systems have evolved over millions of years, resulting in complex neural structures for representation and processing of stimuli. Moreover, biological visual systems are typically far more efficient than current human-made machine ...
Comments