Neural Controller For Adaptive Sensory-Motor Coordination

Kuperstein, Michael; Rubinstein, J.

doi:10.1117/12.960328

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Adaptive Methods For Visuo-motor Coordination1

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1993

1994

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Cited by 5 publications

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“…a/ [l:J] , Mart inetz and Schultcn (14] , Saxon and Mukerjee (15] , Graff and Lalond (16,17], 1\uppcrstein (18] and Groosberg [19], among others, have approached an artificial visuomotor system int.egrating neural network and other computational techniques in order to conduct mo v<'ments in an artificial arm.…”

Section: Adaptive Methods For Visuo-motor Coordinationmentioning

confidence: 99%

On The Early Research in Visuo-Motor Coordination based on Neural Networks

Campos¹

1994

Anais Do VI Simpósio De Arquitetura De Computadores E Processamento De Alto Desempenho (SBAC-PAD 1994)

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This paper presents various models that have approched the visuo-motor coordination in human beings. These selected models are based on neural networks coupled with intuitive ideas which try to explain how human beings solve the arm coordenation problem. Basically, the goals are the simulation of the circular reaction found in infants, the path planning or the solution of the inverse kinematics into a robot environment. A model proposed by the author is discussed and qualitativy analyses are made.

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