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Book ChapterDOI

An Automatic Guidance System of a Self-Controlled Vehicle

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TLDR
In this article, an automatically guided vehicle, traveling without fixed guide ways, has been developed and the construction of the vehicle, the control algorithm, and its general performance are described.
Abstract
An automatically guided vehicle, traveling without fixed guide ways, has been developed. In this paper, the construction of the vehicle, the control algorithm, and its general performance are described.

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Citations
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Journal ArticleDOI

Autonomous navigation in a manufacturing environment

TL;DR: Simulations of both navigational planning and reactive/reflexive motor schema-based navigation in a flexible manufacturing systems environment, followed by actual navigational experiments using the mobile vehicle are presented.
Journal ArticleDOI

Cross-coupling motion controller for mobile robots

TL;DR: In this paper, a cross-coupling motion controller for a differential-drive mobile robot is described, which directly minimizes the most significant error by coordinating the motion of the two drive wheels.

UMBmark — A Method for Measuring, Comparing, and Correct- ing Dead-reckoning Errors in Mobile Robots

J. Borenstein, +1 more
TL;DR: This paper presents a new approach to accurate and reliable dead-reckoning with mobile robots that requires neither external references, nor inertial navigation aids (such as accelerometers or gyros).
Proceedings ArticleDOI

Local path control for an autonomous vehicle

TL;DR: Results on the control system performance derived from a computer simulation of the cart and its operating environment, and from an experimental cart, indicate that the system can provide reliable, accurate, and safe operation.
Proceedings ArticleDOI

Trajectory generation with curvature constraint based on energy minimization

TL;DR: A method to generate curvature continuous trajectories for which the curvature profile is a polynomial function of arc length and an algorithm based on the deformation of a curve by energy minimization allows one to solve general geometric constraints which was not possible by previous methods.
References
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Book ChapterDOI

The Stanford Cart and the CMU Rover

TL;DR: The CMU Rover is a more capable, and neatly operational, robot being built to develop and extend the Stanford work and to explore new directions, with maximum mechanical and control system flexibility to support a wide range of research in perception and control.
Proceedings Article

Rover visual obstacle avoidance

TL;DR: The Stanford AI Lab cart is a remotely controlled TV equipped mobile robot that uses several kinds of stereo to locate objects around it in 3D and to deduce its own motion.
Proceedings Article

A locomotion control system for mobile robots

TL;DR: This paper discusses how to control and describe the smooth movement of a mobile robot which has two independent driving wheels (iDWs) that perform both steering and moving functions.