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Books on the topic 'Robotic guidance'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Building robots: Robotic engineers. New York: PowerKids Press, 2016.

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2

Agah, Farhad. Rendezvous guidance for robotic interception of moving objects. Ottawa: National Library of Canada, 2003.

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3

Howard, Ayanna. On the job with a robotic engineer. Minneapolis: Lake Street Publishers, 2003.

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4

Borg, Jonathan M. An industrial robotic system for moving object interception using ideal proportional navigation guidance. Ottawa: National Library of Canada, 2000.

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5

Careers in robotics. New York: Rosen Pub., 2007.

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6

Thro, Ellen. Robotics careers. New York: F. Watts, 1987.

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7

Bone, Jan. Opportunities in robotics careers. Lincolnwood, Ill: VGM Career Horizons, 1993.

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8

Bone, Jan. Opportunities in robotics careers. Lincolnwood, Ill., U.S.A: VGM Career Horizons, 1987.

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9

Suzee, Vlk, ed. The robotics careers handbook. New York: Arco Pub., 1985.

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10

Robotics careers: Preparing for the future. New York: Rosen Central, 2011.

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11

Canada. Occupational and Career Information Branch. Electronics technician (robotics equipment). [Ottawa]: Employment and Immigration Canada, 1987.

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12

Powering up a career in robotics. New York: Rosen Publishing, 2016.

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13

Miller, Richard Kendall. Survey on autonomous vehicle guidance systems. Madison, GA: Future Technology Surveys, 1989.

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14

Careers with robots. New York, N.Y: Facts on File, 1988.

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15

Manatt, Kathleen G. Robot scientist. Ann Arbor: Cherry Lake Pub., 2007.

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16

Pomerleau, Dean A. Neural network perception for mobile robot guidance. Boston: Kluwer Academic Publishers, 1993.

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17

Unusual and awesome jobs using technology: Roller coaster designer, space robotics engineer, and more. North Mankato, Minnesota: Capstone Press, 2015.

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18

Heikkilä, Tapio Arturri. A model-based approach to high-level robot control with visual guidance. Espoo, [Finland]: Technical Research Centre of Finland, 1990.

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19

So, you want to be a coder?: The ultimate guide to a career in programming, video game creation, robotics, and more! New York: Aladdin/Beyond Words, 2016.

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20

1969-, Gilbreath Edward, ed. Out of the box: Building robots, transforming lives. Chicago, IL: Moody Publishers, 2009.

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21

Great Britain. Further Education Unit., ed. Robotics: Guidance for further education. Further Education Unit, 1985.

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22

LONGMAN. Robotics Guidance for Further Education (FEU). Longman, 1986.

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23

Argall, Brenna D., Eric L. Sauser, and Aude G. Billard. Tactile Guidance for Policy Adaptation. Now Publishers, 2011.

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24

Robotics engineer. 2015.

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25

Advanced guidance and control aspects in robotics. Neuilly sur Seine: Agard, 1994.

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26

Robot Scientist. Cherry Lake Pub, 2015.

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27

Lighter Than Air Robots Guidance And Control Of Autonomous Airships. Springer, 2011.

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28

Center, Langley Research, ed. A guidance scheme for automated tetrahedral truss structure assembly based on machine vision. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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29

Ichirō, Masaki, ed. Vision-based vehicle guidance. New York: Springer-Verlag, 1992.

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30

R, Menon Satheesh, Pandit R, and Construction Engineering Research Laboratory, eds. Enhancements to a guidance system for an automated warehouse equipped with mobile robots. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1990.

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31

Robotics: Science, Technology, Engineering (Calling All Innovators: A Career for You). Childrens Pr, 2015.

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32

Anzenka, Japan Rōdōshō, ed. An Interpretation of the Technical guidance on safety standards in the use, etc. of industrial robots: From their introduction and operation to inspection and maintenance. Tokyo, Japan: Japan Industrial Safety and Health Association, 1985.

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33

Remote systems control engineer. 2013.

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34

Little, Max A. Machine Learning for Signal Processing. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198714934.001.0001.

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Abstract:

Digital signal processing (DSP) is one of the ‘foundational’ engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference. DSP and statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of key topics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered and yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts and algorithms in, this important topic.

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