Obstacle avoidance via articulation
Yong Je Choi, Carl D. Crane, Gary K. Matthew · Journal of Robotic Systems · 1991
Abstract 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.