Intelligent control of robotic arm/hand systems for the NASA EVA retriever using neural networks
- Mclauchlan, Robert A.
- Feb 1, 1989.
- Physical Description:
- 1 electronic document
- Restrictions on Access:
- Unclassified, Unlimited, Publicly available.
- Adaptive/general learning algorithms using varying neural network models are considered for the intelligent control of robotic arm plus dextrous hand/manipulator systems. Results are summarized and discussed for the use of the Barto/Sutton/Anderson neuronlike, unsupervised learning controller as applied to the stabilization of an inverted pendulum on a cart system. Recommendations are made for the application of the controller and a kinematic analysis for trajectory planning to simple object retrieval (chase/approach and capture/grasp) scenarios in two dimensions.
- NASA Technical Reports Server (NTRS) Collection.
- Document ID: 19890010704.
Accession ID: 89N20075.
NASA, Lyndon B.; NASA, Lyndon B. John.
- No Copyright.
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