NimbRo Copter

Organisation: Rheinische Friedrich-Wilhelms-Universität Bonn, Autonomous Intelligent Systems

Website: http://www.ais.uni-bonn.de

Address: Friedrich-Ebert-Allee 144, 53113 Bonn, Germany

Contact: Prof. Dr. Sven Behnke (Tel: +49 228 73 4422, behnke(at)cs.uni-bonn.de)

 

Other Staff:

  • Marius Beul (University of Bonn)
  • Jan Razlaw University of Bonn)
  • Joël Janai (University of Bonn)
  • Christopher Hartmann (University of Bonn)

 

Team Profile:

Team NimbRo Copter is based in the Autonomous Intelligent Systems Group at the Computer Science Institute of University of Bonn, Germany.

The University of Bonn is one of the leading public research universities of Germany. Its Computer Science Institute has a long tradition in robotics research, especially in the areas of mobile robotics and SLAM. Since 2008, the Autonomous Intelligent Systems (AIS) group conducts research in cognitive robotics and machine learning.

The AIS group has extensive experience in real-time perception, control, and system integration for complex robots, including micro aerial vehicles for the autonomous navigation in the vicinity of obstacles. We developed leading RGB-D SLAM, semantic mapping, and planning methods for navigation and manipulation.

The AIS group has extensive experience in robot competitions and challenges. Our team NimbRo participates with great success at the international RoboCup competitions, winning a total of 13 tournaments, including the last five years of the Humanoid TeenSize soccer league and the last three years of the @Home domestic service robot league. Recently, we developed also a robot for mobile manipulation in rough terrain, which participated at the DLR SpaceBot Cup.

Our team has the necessary expertise to address the objectives of Challenge 3. We developed in the project Mapping on Demand, which is funded by German Research Foundation (DFG), an octocopter for autonomous navigation in the vicinity of obstacles. This MAV is equipped with a 3D laser scanner, two wide-angle stereo-camera pairs, a ring of ultrasound sensors, differential GPS, an Intel Core-i7 Quad onboard PC, and a high-performance wireless module. We developed efficient methods for egocentric and allocentric environment mapping and navigation planning. We are currently developing a similar MAV for the new project InventAIRy, which is funded by German BMWi in the program Autonomics for Industry 4.0.

The team members cover all relevant aspects, from visual odometry, over laser-based mapping, to control and planning. Our team has not only the necessary technical expertise, but also plenty of experience with robot competitions and challenges. We also have experience in the cooperation with project partners from industry.

  • Gas Station
  • AIS Kopter

 

Selected Publications:

  1. Local Multi-Resolution Representation for 6D Motion Estimation and Mapping with a Continuously Rotating 3D Laser Scanner (PDF)
  2. Omnidirectional Perception for Lightweight MAVs using a Continuously Rotating 3D Laser Scanner (PDF)
  3. Layered Mission and Path Planning for MAV Navigation with Partial Environment Knowledge (PDF)
  4. Local Multi-Resolution Surfel Grids for MAV Motion Estimation and 3D Mapping (PDF)

 

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News

29.10.2015

EuRoC coordinator wins Guido Dorso Award

2015-10-29 10:30 CET

On the 15th october, the EuRoC coordinator Prof. Bruno Siciliano has been the recipient of the 36th edition of the "Guido Dorso Award" in the section...read more

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29.06.2015

EuRoC C1 Platform Introduction Day

Date: 2015-06-29 till 2015-06-30

Type:Info Day

Venue: Fraunhofer Institut IPA, Nobelstr. 12, 70569 Stuttgart, Germanyread more

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