florianshkurti.wordpress.com
Datasets – Bumblebee
https://florianshkurti.wordpress.com/datasets
Candid Engineer in Academia. Stevey’s Blog Rants. In this page I’m going to list datasets that are of interest to roboticists. Since some of them provide data recorded from sensors that are normally very expensive, they might prove to be useful:. UofOsnabruck 3D scans dataset. Caltech 101 and 256 vision dataset. Overhead imagery research dataset. ETH Zurich Micro Aerial Vehicle dataset. KITTI Vision Benchmark dataset. 6D Vision (pedestrian recognition, autonomous driving, scene labeling etc.).
florianshkurti.wordpress.com
Readings – Bumblebee
https://florianshkurti.wordpress.com/readings
Candid Engineer in Academia. Stevey’s Blog Rants. Here I am going to keep track of papers, books, tutorials and courses that I think have interesting material. Some of the links may come from our reading group at the Mobile Robotics Lab. While others may come as a result of personal reading and searching. Large Scale Simultaneous Inference. Programming a Robotic Car. Topics in Automated Deduction. AI Planning, Execution and Learning. Intro to Mobile Robotics. Probabilistic analysis of algorithms.
florianshkurti.wordpress.com
Software – Bumblebee
https://florianshkurti.wordpress.com/software
Candid Engineer in Academia. Stevey’s Blog Rants. Here you will find links to existing software (not mine) that might be of interest to people who work in vision, machine learning and robotics, especially for those who are doing systems integration in any of these areas. In no particular order:. Fovis: fast odometry using vision. Performs visual odometry based on a RGB-D camera, such as the Kinect. Gtsam: Georgia Tech Smoothing and Mapping. Performs smoothing to solve the SLAM problem. Monocular and ster...
computingintelligence.wordpress.com
The Challenge of fMRI Interpretation | Computing Intelligence
https://computingintelligence.wordpress.com/2010/07/27/the-challenge-of-fmri-interpretation
Theoretical neuroscience and artificial intelligence musings. The Challenge of fMRI Interpretation. Functional Magnetic Resonance Imaging (fMRI) is one of the most popular imaging modalities used to investigate the brain. A 2008 review of fMRI. The question of the meaning of BOLD response has come once more to prominence, thanks to a recent. Paper by Lee et al. Has already been posted, but there are a few aspects of the study that deserve to be specifically highlighted, so I will briefly go through the m...
lorenzoriano.wordpress.com
Lorenzo Riano | Fantastic Machines
https://lorenzoriano.wordpress.com/author/lorenzoriano
Random walks in my brain with a few attractors (robotics, science, programming…). Author Archives: Lorenzo Riano. Researcher in Robotics @ UC Berkeley http:/ www.eecs.berkeley.edu/ riano/. Motion planning with OpenRave: an IPython notebook. Base pose planning with OpenRave. This is my first attempt at a tutorial using IPython notebooks. This is made all too complicated by the fact that I am using OpenRave. That launches an external process with th viewer. To create this post I used nbconvert. The first t...
lorenzoriano.wordpress.com
Motion planning with OpenRave: an IPython notebook | Fantastic Machines
https://lorenzoriano.wordpress.com/2012/11/02/motion-planning-with-openrave-an-ipython-notebook
Random walks in my brain with a few attractors (robotics, science, programming…). A New Challenge for Robotics. Motion planning with OpenRave: an IPython notebook. Base pose planning with OpenRave. This is my first attempt at a tutorial using IPython notebooks. This is made all too complicated by the fact that I am using OpenRave. That launches an external process with th viewer. To create this post I used nbconvert. Or in general stochastic motion planning. Below is a video. Then load my code and select...
lorenzoriano.wordpress.com
A Short Account of Wrapping C++ in Python | Fantastic Machines
https://lorenzoriano.wordpress.com/2011/11/09/wrapping-cplusplus-in-python
Random walks in my brain with a few attractors (robotics, science, programming…). The Complex Dance of a Prey. What Baxter Means for Research in Robotics →. A Short Account of Wrapping C in Python. Competition I am participating to, I found that path planning (using A*) was (obviously! The slowest part of my Python code. It turned out that 80% of the computation was spent planning! So I decided to find some good C code, wrap it in Python and give it a go. The code I decided to use is MicroPather. Click t...
lorenzoriano.wordpress.com
A New Challenge for Robotics | Fantastic Machines
https://lorenzoriano.wordpress.com/2012/10/28/a-new-challenge-for-robotics
Random walks in my brain with a few attractors (robotics, science, programming…). 5/4 time, Jazz, David Brubeck and… Radiohead! Motion planning with OpenRave: an IPython notebook →. A New Challenge for Robotics. It looks like yesterday when I had just started my PhD and I was looking with awe at the first DARPA Grand Challenge (2005). Seeing cars race in the desert with no driver, knowing that the world was being changed before my eyes. It wasn’t the development of particularly new technologies. I have b...
