A simple and effective method for trajectory tracking of robotic manipulator is proposed. The first step is to employ a neural network to learn the characteristics of the inverse dynamics of the robotic manipulator in an off-line manner. Then the neural network is placed in series with the robotic m
β¦ LIBER β¦
Neural network approach to trajectory synthesis for robotic manipulators
β Scribed by A. Pashkevich; M. Kazheunikau
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 634 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0956-5515
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In this paper, a biologically inspired neural network approach to real-time collision-free motion planning of mobile robots or robot manipulators in a nonstationary environment is proposed. Each neuron in the topologically organized neural network has only local connections, whose neural dynamics is