Nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight (bibtex)

by D Tzoumanikas, Q Yan and S Leutenegger

Reference:

Nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight (D Tzoumanikas, Q Yan and S Leutenegger), In IEEE International Conference on Robotics and Automation (ICRA), 2020.

Bibtex Entry:

@inproceedings{tzoumanikas2020nonlinear,
 title = {Nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight},
 author = {D Tzoumanikas and Q Yan and S Leutenegger},
 booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
 pages = {8538--8544},
 year = {2020},
 organization = {IEEE},
 keywords = {drones},
}

by D Tzoumanikas, Q Yan and S Leutenegger

Reference:

Bibtex Entry:

@inproceedings{tzoumanikas2020nonlinear,
 title = {Nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight},
 author = {D Tzoumanikas and Q Yan and S Leutenegger},
 booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
 pages = {8538--8544},
 year = {2020},
 organization = {IEEE},
 keywords = {drones},
}

Hanzhi Chen

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Office: 03.09.041
Mail: Hanzhi.Chen@tum.de

Personal Website | Google Scholar | LinkedIn | GitHub

😎 Brief Bio

I am a PhD student in the Smart Robotics Lab of Technical University of Munich with Prof. Stefan Leutenegger. Previously, I received my M.Sc. degree in Robotics, Cognition, Intelligence with high distinction from Technical University of Munich.

🤖 Research Interest

Object-Centric Perception (to understand objects' geometry, concepts, affordance, and more)
Neural Scene Representations (to facilitate object-centric perception)
Few-Shot Imitation Learning (to connect embodiments' learning through object-centric representations)

🤓 Student Projects

I am always happy to work with cool folks with passion and talents. You can check my previous research works to see if there is a match between us. If you want to work with me, shoot me an email with your up-to-date transcript, résumé, and a brief comment about what research topic really interests you! This paper collection about neural fields for robotics might be helpful for you as a starting point to get inspired :)

Please refrain from inquiring me about supervision for external thesis by non-academic institutions or bachelor thesis, thank you!