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wheeled robot control and odometry

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  • Опубликовано: 15 авг 2024

Комментарии • 28

  • @adamhixon
    @adamhixon 2 года назад +14

    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)

  • @captaindavejseddon8788
    @captaindavejseddon8788 2 месяца назад

    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. :)

  • @fredwens
    @fredwens 2 года назад +6

    This is really an in-depth study of odometry.... GOD bless you, Sir!

  • @milotixspam9807
    @milotixspam9807 Год назад +1

    Thank you man, being lost lately in my robotics classes, this was helpful

  • @camishumble
    @camishumble 7 месяцев назад

    im truggling with my capstone project and this vid has really helped me

  • @user-sd5hr9jh3q
    @user-sd5hr9jh3q 7 месяцев назад +1

    I think 20:02 theta equations is wrong (Remove r from the equation)
    because Vr , Vl(tangential velocities) already include r(radius)

  • @shrinivasiyengar5799
    @shrinivasiyengar5799 Год назад +1

    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?

  • @user-by2cv5ql9r
    @user-by2cv5ql9r 2 года назад +1

    you are the greatest

  • @franciscojorquera6079
    @franciscojorquera6079 Год назад

    Love the content, this helped a lot for a project I’m doing

  • @denishnatiuk921
    @denishnatiuk921 Год назад

    So intuitive thank you

  • @tungpham9067
    @tungpham9067 Год назад

    Thank you so much, great tutorial!

  • @yellowflower5903
    @yellowflower5903 Год назад

    Thank you!! Really amazing video!

  • @JuanLinaresOrihuela
    @JuanLinaresOrihuela 6 месяцев назад

    GOAT!

  • @kaspulanwar7082
    @kaspulanwar7082 Год назад

    great lecture, could you share the presentation (ppt)?

  • @tientruong9315
    @tientruong9315 5 месяцев назад

    omg so crazy lesson , its helpful for my fucking brain every single time i watching video

  • @welidbenchouche
    @welidbenchouche 2 года назад

    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

  • @rafasusano535
    @rafasusano535 2 года назад +2

    Hi at 18:10 on the theta equation why do you use the wheel radius in the multiplication?

  • @SamAlfaqih
    @SamAlfaqih 2 месяца назад

    HI
    do you have the Code? it doesn't matter which language

  • @MOHITKUMAR-xe7bg
    @MOHITKUMAR-xe7bg Месяц назад

    can you share the slides?

  • @sch0453
    @sch0453 Год назад

    Thanks alot

  • @bennettzug
    @bennettzug 3 месяца назад

    5:00 its moved 2pi m no?

  • @psinha6502
    @psinha6502 3 года назад

    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 ?

    • @ThangNguyen-ss7dq
      @ThangNguyen-ss7dq 3 года назад

      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

    • @ThangNguyen-ss7dq
      @ThangNguyen-ss7dq 3 года назад

      @@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

  • @binz3400
    @binz3400 2 года назад

    what is the different between degrees of freedom and controllable DOF.Your video is not clear!!!

    • @shrinivasiyengar5799
      @shrinivasiyengar5799 Год назад

      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 😅