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Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

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Robot Navigation

Exploration of Unknown Environments (SRL at Imperial College)

When a robot is supposed to explore an unknown environment, it is of paramount importance that it only moves into space wherer it will not collide with obstacles; therefore, we need to leverage respective information of free vs. occupied space from the map representations and perform motion planning in a way to efficiently uncover the unknown map while ensuring safety. SRL has been working on respective information-based approaches as applied to drones.

Current collaborators:

  • Sotiris Papatheodorou (SRL Imperial College)
  • Dimos Tzoumanikas (SRL Imperial College)
  • Nils Funk (SRL Imperial College)

Former collaborators:

  • Anna Dai (SRL Imperial College and ETH Zurich)
  • Marius Grimm (SRL Imperial College and ETH Zurich)


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2020
Conference and Workshop Papers
[]Fast frontier-based information-driven autonomous exploration with an MAV (A Dai, S Papatheodorou, N Funk, D Tzoumanikas and S Leutenegger), In 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020.  [bibtex]
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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

Follow us on:
SRL  CVG   DVL