The Rawseeds Project » Other

Robotics Business Review – 2010/3/17

giulio.fontana — Mon, 22 Mar 2010 10:51:34 +0000

Rawseeds receives attention from Robotics Business Review: see Rawseeds Toolkit Advances Autonomous Robotics by Mikell Taylor.

Bad Robot, No Cookie! – 2009/12/22

giulio.fontana — Thu, 14 Jan 2010 14:26:18 +0000

You can find a post about Rawseeds in the Bad Robot, No Cookie! website.

The Web Scene – 2009/12/14

giulio.fontana — Thu, 14 Jan 2010 14:23:12 +0000

A blog about web design called The Web Scene has a post about Rawseeds.

RobotNext – 2009/12/15

giulio.fontana — Thu, 14 Jan 2010 14:18:56 +0000

This article about Rawseeds has been issued on the RobotNext website.

Nano Patents and Innovations – 2009/12/20

giulio.fontana — Thu, 14 Jan 2010 14:16:53 +0000

The Nano Patents and Innovations blog published a post about us.

Observatorio Tecnologico – 2009/12/14

giulio.fontana — Thu, 14 Jan 2010 14:14:56 +0000

The Spanish-language Observatorio Tecnologico includes an article about Rawseeds.

Engineers Edge – 2009/12/13

giulio.fontana — Thu, 14 Jan 2010 14:08:12 +0000

Engineers Edge has published an article about Rawseeds.

Robotics Trends – 2009/12/18

giulio.fontana — Thu, 14 Jan 2010 13:35:08 +0000

Robotics trends wrote about us here.

ICT Results – 2009/12/14

giulio.fontana — Thu, 14 Jan 2010 11:59:02 +0000

The ICT Results magazine by Cordis has dedicated an article to Rawseeds: you can find it here.

(Please note that -at the moment of writing this, at least- the article includes a funny mistake. In fact, it mentions that we’re distributing half a Gigabyte of compressed data… while they actually weigh in at half a Terabyte!)

Timeline (or: where is Rawseeds now?)

giulio.fontana — Tue, 16 Dec 2008 10:00:43 +0000

All the objectives of Rawseeds have been successfully reached. But… the life of Rawseeds is not over!
First, the datasets, Benchmark Problems and Benchmark Solutions provided by Rawseeds will remain freely available; and second: this is your turn! Please consider uploading your own BSs: in this way you could both contribute to Rawseeds and give visibility to your results.

Phase 4: Benchmark Solutions (completed)

giulio.fontana — Fri, 14 Dec 2007 23:17:46 +0000

For each Benchmark Problem one or more Benchmark Solutions are developed and published. Rawseeds-generated BSs represent the fully documented application of state-of-the-art algorithms to the BPs.
Also the users of the Rawseeds can put their own algorithms and/or software in the form of Benchmark Solutions and publish them on www.rawseeds.org along with our own. With Rawseeds you can do that without worrying about losing your intellectual property.

Phase 3: Benchmark Problems (completed)

giulio.fontana — Fri, 14 Dec 2007 23:17:09 +0000

After the datasets have been gathered and validated, a set of Benchmark Problems are built, using them as their input data. The BPs are chosen to be a comprehensive collection of SLAM problems.

Phase 2: data validation (completed)

giulio.fontana — Fri, 14 Dec 2007 23:16:19 +0000

After the data have been gathered, they are subject to a data validation phase. This has the aim of ensuring that all the data streams of each dataset are correct, uncorrupted, correctly synchronized and coherent.

Phase 1: data gathering (completed)

giulio.fontana — Fri, 14 Dec 2007 23:15:45 +0000

The first activity in the workplan of Rawseeds is the gathering of sensor data. We selected suitable locations and are currently exploring them with suitable platforms equipped with a comprehensive suite of sensors.

The data streams produced by the sensors (timestamped to ensure correct synchronization between them) are stored, along with the associated ground truth. No lossy compression algorithms are used, to ensure the integrity of the data.

ALU-FR

giulio.fontana — Fri, 14 Dec 2007 23:02:05 +0000

The autonomous intelligent systems (AIS) lab of the University of Freiburg is concerned with techniques for state estimation and control in the context of mobile robotics and artificial intelligence. One of the major research areas covered by this lab is mobile robot navigation. In the past, members of the AIS lab have contributed several innovative algorithms for mobile robot mapping and localization, exploration, and coordination. This includes techniques for learning two- and three-dimensional maps, localization, outdoor-navigation, and multi-robot exploration and mapping. The applications of mobile robots cover the exploration and mapping of under ground mines and the use of multiple robots as interactive guides in trade shows and museums. The AIS lab has 9 members. It participates in various national and international projects including the national SFB-TR8 research center on spatial cognition, the nationally funded PhD Program Embedded Microsystems, as well as the European Project CoSy (Cognitive Systems for Cognitive Assistants). The lab collaborates with numerous universities in Germany, Europe and the USA. ALU-FR will bring his internationally renowned experts in estimation and control of robotic systems and artificial intelligence as well as results of several years of research in navigation, mapping and SLAM.