GPU-Voxels Tutorial Slides are available online

GPU Voxels at a Cleanroom 3D Replanning scenario Replanning Online grasp planning based on pointclouds of in-hand-camera 3D View of Lab Environment 3D Replanning scenario

GPU-Voxels Tutorial Slides are available online

IAS-13: GPU Voxels Tutorial Slides

IAS-13: GPU Voxels Tutorial Slides

By now, the slides of the IAS Tutorial are available for Download.

Please find them in the Mediacenter of the FZI Website: http://www.fzi.de/en/our-services/mediacenter/publications/

Direct Link: http://www.fzi.de/en/our-offer/mediacenter/publications/?fd=2015-07-15_IAS_Tutorial_V4.0_final.pdf

 

Read more | Comments Off on GPU-Voxels Tutorial Slides are available online | Jul 29, 2014

Thank you for attending the IAS-13 tutorial

Dear participants of our tutorial at the IAS-13 in Padova,

I hope you enjoyed your conference! Thank you for your interest in our software and the nice discussion during and after the tutorial.
Many of you requested the slides from my presentation. I did not forget that, but I have to wait for the FZIs clearance before I can upload them.
Also I am still working on the upload of the Code to a Code-Hoster.

Until then, you can find a little how-to in the Tutorial Section, on how to compile and launch the presented Demo-Program.
I hope to get your feedback after you tested the Code at home.

Best,
Andreas

Read more | Comments Off on Thank you for attending the IAS-13 tutorial | Jul 23, 2014

New Logo for the GPU-Voxels library

I am happy to present our new logo for the GPU Voxels library:

GPU Voxels Logo

Special thanks to Timothée Büttner for creating this nice piece of art!

Read more | Comments Off on New Logo for the GPU-Voxels library | Jul 11, 2014

Upcoming Tutorial

Dear participants of the GPU-Voxels Tutorial at IAS 2014!

We are pleased to announce a brand new version of the library that we were working on during the last months.
Lots of time was put into restructuring the code and into adding a high-level interface to make it easy to use the power of GPUs for collision detection.

Here is a list of prerequisites, if you want to try our software on your own computer:

  • You need a 64 Bit operation system, preferably Ubuntu Linux
  • CUDA >= 5.5 and an according NVidia driver
  • Your GPU must have a Compute-Capability of 2.0 or greater
  • If you want to play with live data from an RGBD Sensor, you will need the PCL and OpenNI
  • To play with your own robot model, bring an STL Model of it
  • Also for voxelizing your own models, get a copy of Binvox (www.cs.princeton.edu/~min/binvox/ or http://www.cs.princeton.edu/~min/binvox/download.php?id=4)

Unfortunately the software is not yet available on a Code Hosting Platform, but we are working on that. Till that point you will receive a copy at the conference.

See you on Tuesday, July, 15th in the DONATELLO (TTU7) conference room from 14:00-18:00!

Read more | Comments Off on Upcoming Tutorial | Jul 11, 2014