Fast frontier-based information-driven autonomous exploration with an MAV (bibtex)
by A Dai, S Papatheodorou, N Funk, D Tzoumanikas and S Leutenegger
Reference:
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 Entry:
@inproceedings{dai2020fast,
 title = {Fast frontier-based information-driven autonomous exploration with an MAV},
 author = {A Dai and S Papatheodorou and N Funk and D Tzoumanikas and S Leutenegger},
 booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
 pages = {9570--9576},
 year = {2020},
 organization = {IEEE},
 keywords = {drones},
}
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Fast frontier-based information-driven autonomous exploration with an MAV (bibtex)
Fast frontier-based information-driven autonomous exploration with an MAV (bibtex)
by A Dai, S Papatheodorou, N Funk, D Tzoumanikas and S Leutenegger
Reference:
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 Entry:
@inproceedings{dai2020fast,
 title = {Fast frontier-based information-driven autonomous exploration with an MAV},
 author = {A Dai and S Papatheodorou and N Funk and D Tzoumanikas and S Leutenegger},
 booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
 pages = {9570--9576},
 year = {2020},
 organization = {IEEE},
 keywords = {drones},
}
Powered by bibtexbrowser
research:robotnavigation

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:

Former collaborators: