0:00:00hello my name's daniel to landing at my project is on using a mean wheels
0:00:04to produce harmonic mean
0:00:06so first one or on
0:00:08only wheels are just like wheels that can be driven forward and backward
0:00:12but with the addition of on how word role is around the room
0:00:16there's and power rollers allowing to slide sideways with very little friction
0:00:23one thing that only was a commonly used for the harmonic movement hold on the
0:00:27computers just movement in all directions
0:00:30so if you look at the standard vehicle on the left
0:00:34forces the horn a metrical on the right they can both move forwards and backwards
0:00:38and they can both rotate
0:00:41but
0:00:42only the whole not make vehicle can move side to side the standard vehicle
0:00:46can't have controlled side to side movement
0:00:50so
0:00:51however commotion
0:00:52is movement in any direction
0:00:55so
0:00:55what happens is if one move in this direction
0:00:59two of the motors that are
0:01:00points in that direction will move
0:01:03and the other two will not they'll just a still
0:01:06so if we put some numbers to this
0:01:08if each of the motors has power and a speed of i am sorry
0:01:13then the total speech will be to m
0:01:19but let's take a more complicated example so suppose that we want to directly sideways
0:01:25now all four motors have to move and what happens is
0:01:29the horizontal components of their movement are
0:01:32that
0:01:33final vector sideways
0:01:35but the vertical components all cancel each other out
0:01:38so there's a set of equations that are pretty well documented
0:01:42that you can use to
0:01:43figure out how quickly each what's new
0:01:47so if you puts a number to this each
0:01:50we'll has a horizontal component of room to over two
0:01:54there were two over two is just there because the wheel isn't played in the
0:01:58right direction so you have to figure that out
0:02:01so this for motors the total speed is gonna be for we're to over two
0:02:07or about two point eight to and
0:02:10substantially faster the last time
0:02:13so you can actually graph these the last is by calculating
0:02:16many different points and plotting the wanna chart
0:02:19here you can see that
0:02:21going forwards backwards left and right are this vehicles best points of movement and that
0:02:28it's a worse points of movement or forty five degree angles which everything else falling
0:02:32somewhere in between
0:02:35so for my experiment actually built
0:02:37this
0:02:38vehicle and several others and tested them seeing how quickly they can move in different
0:02:43directions
0:02:45so i got some mixed results for the first one
0:02:49the data is okay it's not great i'd fears
0:02:54it's awfully trending in the right direction
0:02:57and it's
0:02:59had little variability which i expected it's not quite as good as the predicted data
0:03:04also there were couple data points that i wasn't able to take because of some
0:03:09equipment failure
0:03:11then on types b and c or some other types of vehicle that i looked
0:03:17at the user different because now the we also no longer at forty five degree
0:03:22angles instead
0:03:24these wheels r at
0:03:27sixty degree angles and one twenty degree angles to each other
0:03:30that means the predicted short looks very different
0:03:33it now looks very stretched in one direction because it's much faster
0:03:37going in the direction those goals are aligned in much lower going against the wheel
0:03:42alignment
0:03:43so for type
0:03:44b
0:03:45the
0:03:46results the i got are actually pretty close that
0:03:50peaks and should the right places and there's only a couple things that look off
0:03:57so that was actually my best result by far type c is not quite as
0:04:01good or it's about the rights
0:04:04speed in the going directly up and down
0:04:07but in the left to right direction is not as fast set up
0:04:12finally type the was definitely the one that when the worst
0:04:17i this was just a triangle expected to be both the smallest and what this
0:04:21lowest variability
0:04:23but it ended up
0:04:25going to fastest and having
0:04:26the most variable
0:04:28so in conclusion because of this
0:04:31bad data i couldn't reject final hypothesis which was that the variations in movement we
0:04:35do jeff subjects alone
0:04:36it's not necessarily a bad model for predicting movement speeds
0:04:40but i wasn't able to get enough data to support it's
0:04:45and so more research is still require
0:04:48so thank you very much for watching if you any
0:04:50questions or comments please send them to do any dot daniel that you know that
0:04:55call
0:04:56thank you very much