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Titlebook: Autonomous Robot Vehicles; Ingemar J. Cox,Gordon T. Wilfong Book 1990 AT&T 1990 Potential.Sensor.autonom.autonomous robot.control.environm

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楼主: cerebral-cortex
发表于 2025-3-26 22:53:24 | 显示全部楼层
Graph-Based Representation and Reasoningg a dual-demodulation system, the demodulated signal can be made continuous, resulting in the complete elimination of the blind time and in a range resolution as good as two wavelengths of the mean frequency. Experimental results using a CTFM air sonar justify both these claims.
发表于 2025-3-27 03:42:05 | 显示全部楼层
Sensor Models and Multisensor Integrationvironment, how it can be enhanced by information obtained from other sensors, and how it may be improved by active use of the physical sensing device. The importance of having a model of sensor performance is that capabilities can be estimated a priori and, thus, sensor strategies developed in line with information requirements.
发表于 2025-3-27 08:58:09 | 显示全部楼层
Location Estimation and Uncertainty Analysis for Mobile Robotsed by the optical encoders attached to the wheels to determine vehicle position. This paper analyzes the effect of measurement errors, wheel slippage, and noise on the accuracy of the estimated vehicle position obtained in this manner. Specifically, the location estimator and its uncertainty covariance matrix are derived.
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Dominik Dürrschnabel,Gerd Stumme control of Uranus by: calculating in . the robot position from shaft encoder readings (i.e., dead reckoning); formulating an algorithm to detect wheel slippage; and developing an algorithm for feedback control.
发表于 2025-3-27 23:12:59 | 显示全部楼层
https://doi.org/10.1007/978-3-031-40960-8ted in this way and failsafe procedures invoked. 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 it can provide reliable, accurate, and safe operation of autonomous robot carts.
发表于 2025-3-28 04:52:47 | 显示全部楼层
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Graph-Based Representation and Reasoninglines, planes, and rigid motions. We show how the EKF and the representations can be combined to provide solutions for some of the problems listed at the beginning of the paper, and give a number of experimental results on real data.
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