Title :
A hybrid framework for robot planning and control
Author :
Morasso, Pietro ; Vercelli, Gianni ; Zaccaria, Renato
Author_Institution :
Dept. of Comput. Sci., Genova Univ.
Abstract :
Summary form only given, as follows. The authors discuss the need of integrating symbolic, analogical, and neural methods for robot planning and control. A conceptual framework has been proposed for devising a hybrid computational architecture
Keywords :
neural nets; planning (artificial intelligence); robots; analogical methods; hybrid computational architecture; hybrid framework; neural methods; neural nets; robot control; robot planning; symbolic methods; Artificial neural networks; Backpropagation; Computer science; Industrial engineering; Kinematics; Manipulators; Mechanical engineering; Robot control; Service robots; Traffic control;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155687
