Ghent University Academic Bibliography

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LatentSLAM : unsupervised multi-sensor representation learning for localization and mapping

Ozan Catal, Wouter Jansen, Tim Verbelen (UGent) , Bart Dhoedt (UGent) and Jan Steckel

(2021) 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021). In IEEE International Conference on Robotics and Automation ICRA p.6739-6745
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- Conference Paper
- P1
- open access
Stance control inspired by cerebellum stabilizes reflex-based locomotion on HyQ robot

Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre (UGent) and Francis wyffels (UGent)

(2020) 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). In IEEE International Conference on Robotics and Automation ICRA p.6127-6133
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Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks

Jeroen Burms (UGent) , Ken Caluwaerts (UGent) and Joni Dambre (UGent)

(2015) IEEE International Conference on Robotics and Automation ICRA. p.4252-4257
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System design and locomotion of SUPERball, an untethered tensegrity robot

Andrew P Sabelhaus, Jonathan Bruce, Ken Caluwaerts (UGent) , Pavlo Manovi, Roya Fallah Firoozi, Sarah Dobi, Alice M. Agogino and Vytas SunSpira

(2015) 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). In IEEE International Conference on Robotics and Automation ICRA p.2867-2873
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Design and evolution of a modular tensegrity robot platform

Jonathan Bruce, Ken Caluwaerts (UGent) , Atil Iscen, Andrew Sabelhaus and Vytas SunSpiral

(2014) IEEE International Conference on Robotics and Automation ICRA. p.3483-3489

Academic Bibliography

LatentSLAM : unsupervised multi-sensor representation learning for localization and mapping

Stance control inspired by cerebellum stabilizes reflex-based locomotion on HyQ robot

Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks

System design and locomotion of SUPERball, an untethered tensegrity robot

Design and evolution of a modular tensegrity robot platform

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