Neural network approach to collision free path planning for robotics manipulators
Abstract: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural network model. This model describes harmonic potential field of the robot configuration space, sampled by non-regular...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2268 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2268 |
| Resumo: | Abstract: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural network model. This model describes harmonic potential field of the robot configuration space, sampled by non-regular grid. The algorithm has been successfully applied to the off-line programming of a robotic manufacturing cell for the automotive industry. |
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