Thank you Professor Cryll! Your videos helped me finish my final year project! And here I am coming back to your channel to learn more! Because you cant get enough of these amazing lectures
Hello I have a query: For slide 13 at 10:20, how do we know the (x,y) coordinates for the landmark Xj, which are needed to find the atan() angle relative to the robot pose? As per my understanding, when we start the SLAM problem, we don't have any prior information of the landmarks. And we can only measure the bearing, so we can't even instantiate the landmark on first pass. If at all, our Xj in the state space would be instantiated to (0,0) Can anyone help me understand this?
The use of the term “landmark” is intended to convey that its coordinates are known. This is a special case, but it is certainly possible to augment the state vector to include an object with uncertain position.
You're one of the best robotics professors i know
Thanks for making the knowledge public for free.
Thank you Professor Cryll! Your videos helped me finish my final year project! And here I am coming back to your channel to learn more! Because you cant get enough of these amazing lectures
I love your classes, tanks for your effort, I know how much it takes to make a good video
Hello I have a query: For slide 13 at 10:20, how do we know the (x,y) coordinates for the landmark Xj, which are needed to find the atan() angle relative to the robot pose?
As per my understanding, when we start the SLAM problem, we don't have any prior information of the landmarks. And we can only measure the bearing, so we can't even instantiate the landmark on first pass. If at all, our Xj in the state space would be instantiated to (0,0)
Can anyone help me understand this?
The use of the term “landmark” is intended to convey that its coordinates are known. This is a special case, but it is certainly possible to augment the state vector to include an object with uncertain position.