Comments for Reality Bytes

Comment on State Estimation: Kalman Filters by Graph-Based Path Planning: A* | Reality Bytes

Graph-Based Path Planning: A* | Reality Bytes — Fri, 17 Aug 2018 04:00:59 +0000

[…] where a robot is with a high degree of confidence using something called particle filters (see my other post about Kalman Filters for some motivation on the state estimation problem, PFs are just another type of filter). The most […]

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Comment on Graph-Based Path Planning: Dijkstra’s Algorithm. by Graph-Based Path Planning: A* | Reality Bytes

Graph-Based Path Planning: A* | Reality Bytes — Fri, 17 Aug 2018 04:00:44 +0000

[…] while back I wrote a post about one of the most popular graph based planning algorithms, Dijkstra’s Algorithm, which […]

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Comment on State Estimation: Kalman Filters by Computer Vision/Perception: Structure From Motion | Reality Bytes

Computer Vision/Perception: Structure From Motion | Reality Bytes — Thu, 10 May 2018 07:08:59 +0000

[…] several of my previous posts, on path planning and state estimation, I began to mention the SLAM (Simultaneous Localization and Mapping) problem in robotics, which […]

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Comment on Graph-Based Path Planning: Dijkstra’s Algorithm. by Computer Vision/Perception: Structure From Motion | Reality Bytes

Computer Vision/Perception: Structure From Motion | Reality Bytes — Thu, 10 May 2018 07:08:55 +0000

[…] several of my previous posts, on path planning and state estimation, I began to mention the SLAM (Simultaneous Localization and Mapping) […]

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Comment on State Estimation: Kalman Filters by Rohan R Paleja

Rohan R Paleja — Tue, 05 Dec 2017 16:48:35 +0000

In reply to atomoclast.

Yeah that was actually the fix. I am using ROS Kinetic on Ubuntu 16.04 (Virtual Machine), Could you give some information about how you modeled your car? I am attempting something similar and am planning to use the bicycle model. Which model did you use?

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Comment on State Estimation: Kalman Filters by atomoclast

atomoclast — Sun, 03 Dec 2017 15:41:27 +0000

In reply to Rohan R Paleja.

@Rohan First question, what version of ROS/Linux are you using?

Aside from rosdep, have you tried to run the following?

sudo apt update
sudo apt install ros-kinetic-kobuki-gazebo-plugins

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Comment on State Estimation: Kalman Filters by Rohan R Paleja

Rohan R Paleja — Sun, 03 Dec 2017 06:34:03 +0000

Hi,
I keep getting a build error. What I did was I cloned the library from above and placed turtlebot_ekf into my workspace. When I build I get an error that it cannot find a configuration file provided by kobuki_gazebo_plugins. I tried rosdep install, but it’s still failing. Could you provide some insight on how to fix this.

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Comment on Detecting and Tracking AR Tags by robotsineducation

robotsineducation — Wed, 15 Nov 2017 17:19:28 +0000

Hello,
Thanks for your nice explanation, I am using ar_track_alvar with ros for a long time. recently I needed to recognize the tags from a recorded video. When I publish the video and run the tag-tracking it doesn’t work even though I have given the camera calibration. What I actually need here is to recognize the position of two tags in each frame and draw a rectangle based on the position of two tags, I don’t need the position of the tags in the world, just the position in each frame and rotation angle, so you know how to do this?
I am trying with arToolkit but I had to train it with my tags, the recognition is ok, but I need to figure out the matrices and positions it gives me and since the codes are in c it makes it slow for me because I haven’t use c for along time. It would be great if I can do it with ar_track_alvar. It would be great if you can help me, Best.

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Comment on Graph-Based Path Planning: Dijkstra’s Algorithm. by State Estimation: Kalman Filters | Reality Bytes

State Estimation: Kalman Filters | Reality Bytes — Mon, 14 Aug 2017 23:04:06 +0000

[…] a quick recap, in my last post, I began to discuss mobile robots and how we can programmatically endow these systems with the […]

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Comment on Forward and Inverse Kinematics, an Introduction. by atomoclast

atomoclast — Thu, 13 Jul 2017 15:49:40 +0000

In reply to SebNag.

Hey SebNag, thank you for reading through. Good question, the last column is because it’s rotation and translation. You’ll notice that we take into account the rotation matrix as well as translation, hence the 4×4 change. I do agree with you, i could have been more explicit about the change, or just been consistent all the way through. Thanks for reading!

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