J
John P Williston
Researcher at Texas Instruments
Publications - 8
Citations - 361
John P Williston is an academic researcher from Texas Instruments. The author has contributed to research in topics: Controller (computing) & Mobile robot. The author has an hindex of 6, co-authored 8 publications receiving 361 citations.
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Patent
Hierarchical control system for automatically guided vehicles
TL;DR: In this article, a modular and hierarchically organized set of computer programs which comprise methods for controlling a system of semi-autonomous automatically guided vehicles, such as mobile robots, is presented.
Patent
Static collision avoidance method for multiple automatically guided vehicles
TL;DR: In this paper, a method of static collision avoidance for multiple automatically guided vehicles (AGVs) on bidirectional paths is proposed, which allows multiple AGVs to coexist in the same pathways without collision or excessive queueing.
Patent
Closed-loop navigation system for mobile robots
Martin A. Wand,Chuan-Fu Lin,Anh V Ho,Phen-Lan Huang,John P Williston,Thomas J Doty,Haradon J. Rice +6 more
TL;DR: In this paper, a visual navigation system provides absolute position information to multiple automatically guided vehicles (AGVs) such as mobile robots, where the beacons are arranged and controlled so that the vision systems can acquire, measure, and report the locations of multiple AGVs.
Patent
A method for controlling movements of a mobile robot in a multiple node factory
TL;DR: In this paper, a method for communicating the need to move a mobile robot, such as an AGV, from one location (node) to another, on a node-by-node basis, incrementally, among the nodes established in a physical environment such as a factory, is presented.
Patent
System for dynamically determining position of multiple automatically guided vehicles
David F. Summerville,John P Williston,Martin A. Wand,Thomas J. Doty,Haradon J Rice,Phen-Lan Huang +5 more
TL;DR: In this paper, the authors propose a method of dynamic collision avoidance for multiple automatically guided vehicles (AGVs) on bidirectional paths, based on information from a central data base in which the factory or operating space of the AGVs is mapped and from AGV position updates supplied by an independently operating visual navigation system.