Sabine Hauert is an Associate Professor in the Bristol Robotics Laboratory at the University of Bristol where her research investigates swarm robotics. Previously she worked at the Massachusetts Institute of Technology (MIT), Carnegie Mellon University (CMU) and the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.
|Alma mater||École Polytechnique Fédérale de Lausanne (BSc, MSc, PhD)|
Carnegie Mellon University
|Institutions||University of Bristol|
Massachusetts Institute of Technology
|Thesis||Evolutionary Synthesis of Communication-Based Aerial Swarms (2010)|
|Doctoral advisor||Dario Floreano|
Hauert was educated at the École Polytechnique Fédérale de Lausanne (EPFL) where she was awarded Bachelor of Science, Master of Science and Doctor of Philosophy degrees. During her study she participated in a student exchange program at Carnegie Mellon University (CMU). Her PhD on aerial swarm robotics was supervised by Dario Floreano and Jean-Christophe Zufferey and awarded in 2010.
Career and researchEdit
Hauert's research investigates swarm intelligence, robotics, nanomedicine and cancer. Her work has appeared in Nature, Science, the European Parliament, the Royal Society and featured in mainstream media including the BBC, CNN, The Guardian, The Economist, TEDx, Wired, and New Scientist. Hauert is president and co-founder of robohub.org, a nonprofit organization and online communication platform that brings together experts in robotics research, start-ups, business and education from across the globe.
Awards and honoursEdit
Hauert was a member of the team that won first place at the RoboCup US Open in 2005. She was a selectee at the 63rd Lindau Nobel Laureate Meeting in 2013 and was awarded a postdoctoral fellowship at MIT by the Human Frontier Science Program (HFSP) in 2011.
- "Sabine Hauert – HAUERT LAB". Hauertlab.com. Retrieved 11 November 2018.
- Sabine Hauert publications indexed by Google Scholar
- Hauert, Sabine (2010). Evolutionary Synthesis of Communication-Based Aerial Swarms. Epfl.ch (PhD thesis). Ecole Polytechnique Fédérale de Lausanne. doi:10.5075/epfl-thesis-4900. OCLC 890692372.
- "Dr Sabine Hauert - University of Bristol". Research-information.bristol.ac.uk. Retrieved 11 November 2018.
- Hauert, Sabine; Zufferey, Jean-Christophe; Floreano, Dario (2008). "Evolved swarming without positioning information: an application in aerial communication relay". Autonomous Robots. 26 (1): 21–32. doi:10.1007/s10514-008-9104-9. ISSN 0929-5593. S2CID 5533715.
- Hauert, Sabine; Leven, Severin; Varga, Maja; Ruini, Fabio; Cangelosi, Angelo; Zufferey, Jean-Christophe; Floreano, Dario (2011). "Reynolds flocking in reality with fixed-wing robots: Communication range vs. Maximum turning rate". 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (PDF). pp. 5015–5020. doi:10.1109/IROS.2011.6095129. ISBN 978-1-61284-456-5. S2CID 14223026.
- Russell, Stuart; Hauert, Sabine; Altman, Russ; Veloso, Manuela (2015). "Robotics: Ethics of artificial intelligence". Nature. 521 (7553): 415–418. Bibcode:2015Natur.521..415.. doi:10.1038/521415a. ISSN 0028-0836. PMID 26017428. S2CID 4452826.
- Wessel, Lindzi (2017). "When will I have my sidekick robot?". Science. doi:10.1126/science.aal0804. ISSN 0036-8075.
- "Sabine Hauert - Royal Society". Royalsociety.org. Retrieved 11 November 2018.
- "Can my computer recognise my cat?". BBC Guides. Retrieved 11 November 2018.
- "How swarm technology could help fight cancer - CNN Video". Edition.cnn.com. Retrieved 11 November 2018.
- Seager, Charlotte (2016). "Will jobs exist in 2050?". theguardian.com. The Guardian.
- "Hunting as a pack". The Economist. Retrieved 11 November 2018.
- "Robots to nanoparticles: Engineering swarms to fix global problems - Sabine Hauert - TEDxExeterSalon". YouTube. 28 November 2017. Retrieved 11 November 2018.
- Piesing, Mark (2015). "Swarm engineer Sabine Hauert to fight cancer with a trillion killer nanobots". Wired UK.
- Hodson, Hal. "Gamers unleash swarms of nanoparticles on tumours". Newscientist.com. Retrieved 11 November 2018.
- "Robohub - Connecting the robotics community to the world". Robohub.org. Retrieved 11 November 2018.
- Donnelly, Peter (2017). Machine learning: the power and promise of computers that learn by example. Royalsociety.org. London. ISBN 9781782522591. OCLC 1016323791.
- "Machine Learning Working Group". Royalsociety.org. London: Royal Society. Retrieved 11 November 2018.