Knowledge-based prehension: capturing human dexterity

Autor:	J. Jackson, T. Iberall, L. Labbe, R. Zampano
Rok vydání:	2003
Předmět:	Engineering business.industry GRASP Robotics Planner computer.software_genre Expert system Robot control Living systems Knowledge-based systems Human–computer interaction Robot Artificial intelligence business computer computer.programming_language
Zdroj:	ICRA
DOI:	10.1109/robot.1988.12027
Popis:	A major question facing the development of sophisticated robotics systems is how to capture the functionality seen in versatile living systems. An approach that has proven useful in designing complex systems is to capture the explicit constraints in a knowledge based system. A knowledge-based planning system under development is reported which attempts to capture the versatility of human prehension. The goal is to model the relationship between perceptual and motor systems in human prehension as well as to develop a knowledge-based grasp planner able to control sophisticated, dextrous robot hands. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8a70e987db2c84ab08ba037016273aeb https://doi.org/10.1109/robot.1988.12027 Zobrazit plný text záznamu