Absolutely brilliant intro into robotic odometry. I'm currently building a factory robot to get me stuff and clean floors and answer door ect. Not built one in 28 years so this a great refresh for us old timers. :)
So, I came to this video to understand the things that you mention will be talked about in the next class 😂😭 From your channel it does not seem like you uploaded the video on how to deal with ROS and odometry. Do you have any directions/tips I could use to learn that part?
Hi sir, amazing video, i have a matlab simulation of a trajectory tracking for a mobile robot, and i wish to use it on a real robot . please guide me sir
Spent a few hours failing to remember my trig class from 20 years years ago for a ROS project I'm working on. Gave up for the night, had a couple glasses of wine then stumbled across your vid and it suddenly all made sense. Thank you random youtuber! ( and thank you wine)
From what I understand, the degrees of freedom just says how many directions you can move in theory. But the controllable DOF tells you which variables can you actually control to move in the directions desired. pretty sure this explanation does not make too much sense too, but this is the best my lazy-ass could do at this moment 😅
Hi 16:09Could u explain why new theta is theta + delta theta. Since delta theta in this case is measured wrt to line parallel to y axis. Is there a geometry property I am missing here ?
Delta theta is the angle at which the robot rotate in 1 sample time. At sample time (time step) t the robot is at theta, so at time step t+1 the robot is at theta+delta theta
@@imbusynow228 theta dot is just the angle of the next time step. Assuming at time t we have theta, then at time t+1 (theta dot) we have theta + delta theta
can you share the slides?
HI do you have the Code? it doesn't matter which language
Absolutely brilliant intro into robotic odometry. I'm currently building a factory robot to get me stuff and clean floors and answer door ect. Not built one in 28 years so this a great refresh for us old timers. :)
5:00 its moved 2pi m no?
omg so crazy lesson , its helpful for my fucking brain every single time i watching video
GOAT!
I think 20:02 theta equations is wrong (Remove r from the equation) because Vr , Vl(tangential velocities) already include r(radius)
im truggling with my capstone project and this vid has really helped me
THANK YOU, BUT THITA_DOT DOES NOT EQUAL THE VALUE IN THIS VIDEO
great lecture, could you share the presentation (ppt)?
where are you bro, please continue the channel
So, I came to this video to understand the things that you mention will be talked about in the next class 😂😭 From your channel it does not seem like you uploaded the video on how to deal with ROS and odometry. Do you have any directions/tips I could use to learn that part?
So intuitive thank you
Love the content, this helped a lot for a project I’m doing
Thanks alot
Thank you so much, great tutorial!
Thank you!! Really amazing video!
Thank you man, being lost lately in my robotics classes, this was helpful
hello, I'm not able to run the paste-gate command. what should I do
Global Planning is not exactly path planning. Path planning consists of global+ local. And motion planning is the part of local planning.
Thanks for the nice and informative explanation
Hi sir, amazing video, i have a matlab simulation of a trajectory tracking for a mobile robot, and i wish to use it on a real robot . please guide me sir
This is really an in-depth study of odometry.... GOD bless you, Sir!
you are the greatest
Spent a few hours failing to remember my trig class from 20 years years ago for a ROS project I'm working on. Gave up for the night, had a couple glasses of wine then stumbled across your vid and it suddenly all made sense. Thank you random youtuber! ( and thank you wine)
Amazing material. Do you have the entire course?
Hi at 18:10 on the theta equation why do you use the wheel radius in the multiplication?
I think it's wrong
what is the different between degrees of freedom and controllable DOF.Your video is not clear!!!
From what I understand, the degrees of freedom just says how many directions you can move in theory. But the controllable DOF tells you which variables can you actually control to move in the directions desired. pretty sure this explanation does not make too much sense too, but this is the best my lazy-ass could do at this moment 😅
Hi 16:09Could u explain why new theta is theta + delta theta. Since delta theta in this case is measured wrt to line parallel to y axis. Is there a geometry property I am missing here ?
Delta theta is the angle at which the robot rotate in 1 sample time. At sample time (time step) t the robot is at theta, so at time step t+1 the robot is at theta+delta theta
@@imbusynow228 theta dot is just the angle of the next time step. Assuming at time t we have theta, then at time t+1 (theta dot) we have theta + delta theta