I am a beginner to robotics, and I wanted to program a robot arm to draw a picture on arbitrary objects I present to him.
I do have an Intel Realsense camera, will receive a dobot.cc robot arm next days, and thought about using ROS as a base, moveit for movements and the PCL library for object detection.
How do I connect all of these together? Are there any particulary interesting tutorials that you would recommend? Anything I should try out up front?
Also, I suppose I will need to build custom code for detecting the target object in the point cloud and calculate how the picture should be placed on the object and then use moveit to follow the target path. Where would this code go?
Any help would be appreciated.
Thanks,
Gregor
Meanwhile, I found an excellent book on the topic:
http://www.amazon.de/Learning-ROS-Robotics-Programming-Second/dp/B00YSIL6VM/
Related
I am developing a qml app in qt5 with circular gauge. I want to port application qt 6. But in qt 6 qtquick extras is missing, so circular gauge is not available. Is qt planning to make it available in next releases of qt6? What can I do instead of using circular gauge in qt6?
Is there anyone who knows about it?
As far as I know there are no plans yet to port it to Qt 6. You could create a suggestion on Jira to express your interest in having it.
The code is here and here if you want to try to port it yourself or just use parts of it (keeping in mind the license, which is LGPL).
As you stated in the question, CircularGauge is not available in Qt6. So what can you do?
As a minimal effort, you can substitute CircularGauge with a functional similar component, for instance, RangeSlider. Of course, a RangeSlider looks nothing like a CircularGauge, but, it will, at least, allow you to compile and run your application. It will give you an application to test whilst you decide your options.
Then, as others have stated, you need to spend more effort allocated to porting. If you refer to the source code of CircularGauge, you see that they're using Canvas with a custom onPaint implementation. You could do the same in your port, or, you can find an alternative, e.g. Shape with ShapePath, etc. These efforts are non-trivial, and it boils down to the level of effort you wish to invest.
I am building a project using the IP Camera Intelbras 5220 SD IR Datasheet.
In this project, I am using a website through which I can access the camera, but also need to control the movement of this camera, i.e. I need to control its PTZ. I have no idea how to start, but I would like to control the camera using HTTP because I think it is easier. I searched for some keywords like Onvif and SOAP, but I found nothing that could really help me.
Does anyone have any idea what can I do?
I found the answer by myself and it is not too difficult. All I need to do is search more about Onvif. As my python is 3 this link was very helpful:
If my python is 2 I would use this one.
There are some examples there that help me a lot. For more details about Onvif I also used this one.
Now my camera is working very well.
everyone.
I've been stuck for some days searching some way to get the skeleton of a point cloud data (like OBJ) but not using kinect. Is it possible?
I found the Point Cloud Library which does a lot of tasks related to point cloud data, and in their documentation there is a body keypoints detector, but it also works with kinect grabbers.
In my case, I have a point cloud data like in the picture, which was generated by another depth sensor scanner. Is it possible to find the key points in such data?
I really would appreciate any help. Thanks in advance.
Even if it's not explicitly mentioned in the tutorial you linked, a quick to the code suggests that you can use different data sources (e.g. PCD files), so you're not stuck with the live capture from Kinect.
All the tutorial code really does is the following:
Setup the GPU for the people parts detection.
Pick the appropriate data source.
Load the tree files for the body part detector.
Run the PeopleDetector on a single frame captured from the live grabber stream/PCD file.
Given qt3d's structure, is it possible to integrate the oculus sdk with a qt3d application?
I have tried but my two main obstacles are:
I cant use the textures from the texture swap chain created by the oculus sdk as a render target attachment
I am not able to call ovr_SubmitFrame at the end of each frame since qt3d doesnt have a signal that would allow me to do so.
Has anyone successfully gotten the oculus sdk to work with qt3d? If so, how did you overcome these issues?
Are there any plans for allowing the integration of VR SDKs (not just oculus') in qt3d in further releases?
You could probably do it with some sort of custom framegraph that encapsulated the stereo rendering functionality and included a custom component that could take the currently rendered content and submitted it to the SDK prior to the swapbuffer call.
Alternatively you could dive into the code that processes the framegraph itself and see how hard it would be to customize it to work against a VR API. I've done significant work with integrating Qt apps with VR, but not specifically with Qt3D.
The frame graph will indeed provide one part of the solution for the stereoscopic rendering setup. There is already an anaglyphic stereo example showing most of what you need that ships with Qt 3D.
To integrate the swap chain of the occulus SDK will require deeper integration. I do not know the details of the Occulus SDK as yet but we can take a look.
From what I can see you should be able to do something analogous to the Scene3D custom Qt Quick 2 item to be able to render to the textures provided by the Occulus SDK and to tell Qt 3D which OpenGL Context to use. See
http://code.qt.io/cgit/qt/qt3d.git/tree/src/quick3d/imports/scene3d?h=5.7
Nicolas, I also do not appreciate you publicly saying that KDAB are not much help. I only received an email from Karsten on Friday which I responded to despite being on vacation saying that we can help but it will be on a best efforts basis since you are not paying and I have a very full workload preparing Qt 3D for release at the end of the month along with Qt 5.7. Today is a public holiday in the UK, as you are aware, yet you are already saying detrimental things about us.
You were also directed to post to the interest#qt-project.org mailing list on the qt-forums as I do not tend to monitor SO or the qt-forums on a regular basis. You could have also emailed us directly or via the development#qt-interest mailing list.
We would be more than happy to set up a support agreement with you.
I am planning to link a Qt project against R to provide some statistical funcionality. I thought it might be quite cute to add some generality to the project by having an R console as a Qt widget within the tab to allow me to do analyses that I haven't thought of in the design stage later on. I was wondering whether it is something that might be accomplished fairly easily?
In particular I'm stuck on how I would access the RTerm from QT? Has anyone else attempted something similar or can give some hints on where to start?
One of the examples for RInside does something pretty close---in around 200 lines most of which deal with the other GUI aspects, it wraps R functionality inside a Qt application.
The example implements a GUI density slider, and the edit box allows you to write an almost arbitrary R expression, or rather the parts that are then passed into an evaluation to generate random number: rnorm(50), or for a mixture c(rnorm(50), rt(50)) etc. You could possibly build on top of that.
See this blog post for more.
Check out Carson Farmer's work on manageR:
http://www.ftools.ca/manageR/
this is a plugin for Quantum GIS (mapping package) that interfaces it to R, giving you exactly what you want - an R console wrapped in a Qt4 body - as well as data transfer between Qgis and R. It handles plots as well.
I've tried to encourage Carson to produce a standalone R Gui project from this code, but he's a busy guy. Aren't we all?
RStudio is largely written using QT, you should be able to have a look at their code and build something similar into your Qt based application:
https://github.com/rstudio/rstudio