Obstacle avoidance via articulation

Autor:	Yong J. Choi, Gary K. Matthew, Carl D. Crane
Rok vydání:	1991
Předmět:	Engineering Control and Systems Engineering Blueprint business.industry Process (engineering) Obstacle avoidance Robot Motion planning Workspace Artificial intelligence Articulation (phonetics) business Robot control
Zdroj:	Journal of Robotic Systems. 8:465-484
ISSN:	1097-4563 0741-2223
Popis:	This article presents a practical implementation of the theory for articulation of spatial robots such as the PUMA and TRS type robots. The “Blueprint Algorithm” is introduced as a simple rule-based planning algorithm in which the geometry of interference takes on the role of a basis in a collision-free path planning process amongst obstacles. This implementation presents a novel idea of “Machine Intelligence Via Robot Geometry” which utilizes robot attributes such as workspace and dexterity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46a63752d8b2c57c78828d64fcdc0e81 https://doi.org/10.1002/rob.4620080404 Zobrazit plný text záznamu Plný text