Category: ‘Post’

Call for Participation: TRADR Summer School on Human-Robot Teaming, 21-25 of Augustus, Utrecht, the Netherlands

9 May, 2017 Posted by tradr_admin

TRADR Summer School on Human-Robot Teaming
21-25 of Augustus, Utrecht, the Netherlands

The TRADR summer school on Human-Robot Teaming will be held from 21-25 August 2017 in Utrecht, the Netherlands. The event consists of a five-day course to provide participants with a full overview and hands-on experience related to Human-Robot Teaming. For more information have a look on the website.

3rd General Assembly at TU in Delft

4 April, 2017 Posted by tradr_admin

The third TRADR General Assembly is going to be held at the TU in Delft from May 3-4, 2017.

TRADR Year 3 Review in Montelibretti, Italy

7 March, 2017 Posted by tradr_admin

The TRADR Year 3 review took place at the Scuola Di Formazione Operativa in Montelibretti, (Italy) of Vigili del Fuoco on Tuesday March 7 and Wednesday March 8.
The system demonstration was successful and the overall progress of the project was evaluated by the predicate “excellent” or “very good”.
More detailed information will follow soon.

 

Curves repository is now public

3 February, 2017 Posted by tradr_admin

The objective of the TRADR project is to enable a team of humans and robots to collaborate in a disaster response scenario which can last over several days. To achieve this, one of the core capabilities of the robots is their capacity to create a 3D map of their environment and to localize themselves within this map.

The TRADR consortium has recently open-sourced three libraries with the purpose of enabling robots equipped with 3D laser scanners to perform the above mentioned tasks. The curves library is used to represent the robot’s continuous-time trajectory in 3D space while the laser_slam library implements the back-end estimation functionalities of the localization and mapping system. The SegMatch library finally enables the robots to recognize previously visited places and to transmit this information to the back-end in order to close loops and to register trajectories of different robots.

Links to libraries:

https://github.com/ethz-asl/curves
https://github.com/ethz-asl/laser_slam
https://github.com/ethz-asl/segmatch

The following figure illustrates a map which was generated by fusing 3D laser scanner measurements from two unmanned ground vehicles which were collected during the TRADR Evaluation exercise at the Gustav Knepper Power Station in Dortmund, Germany. The map is coloured by height and the robot trajectories are represented as blue and red lines.

For more information about the place recognition algorithm please consult our paper (https://arxiv.org/pdf/1609.07720v1.pdf) and have a look at our video (https://www.youtube.com/watch?v=iddCgYbgpjE). Easy to run demonstrations can be found in the wiki page of the SegMatch repository. More to come!

Best SSRR 2016 Late Breaking Report Award

1 November, 2016 Posted by tradr_admin

Team members of TRADR received the Best Late Breaking Report Award at the International Symposium on Safety, Security and Rescue Robotics (SSRR) 2016 for their work titled “3D Localization, Mapping and Path Planning for Search and Rescue Operations”. The report issued from a collaboration with the Alcor Lab from the Sapienza University of Rome and presented results obtained at the third Joint Exercise of the FP7 TRADR project.