Publication: Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot
Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot
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Manoonpong, P., Dasgupta, S., Goldschmidt, D., & Wörgötter, F. (2014). Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot. Neural Networks (IJCNN), 2014 International Joint Conference On, 3295–3302. https://doi.org/10.1109/IJCNN.2014.6889405
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Walking animals show fascinating locomotor abilities and complex behaviors. Biological study has revealed that such complex behaviors is a result of a combination of biomechanics and neural mechanisms. While biomechanics allows for flexibility and a variety of movements, neural mechanisms generate locomotion, make predictions, and provide adaptation. Inspired by this finding, we present here an artificial bio-inspired walking system which combines biomechanics (in terms of its body and leg structures) and neural mechanisms. The neural
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- Manoonpong, Poramate
- Dasgupta, Sakyasingha
- Goldschmidt, Dennis
- Wörgötter, Florentin
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Manoonpong, P., Dasgupta, S., Goldschmidt, D., & Wörgötter, F. (2014). Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot. Neural Networks (IJCNN), 2014 International Joint Conference On, 3295–3302. https://doi.org/10.1109/IJCNN.2014.6889405
