|Andre Rosendo, Assistant Professor|
Machine learning applied to Robotics
Bayesian Learning / Reinforcement Learning / Deep Bayesian Learning / Neural Networks
Legged locomotion / Wheeled locomotion / Manipulation / Soft Robotics
Andre Rosendo received his B.Eng in Mechanical Engineering at UFBA, Brazil, and his M.Sc. and Ph.D. in Information Science at Hokkaido University (2011) and Osaka University (2014) under the fully funded MEXT scholarship. He was a postdoctoral researcher at the University of Cambridge from 2015 until 2017, and is currently an Assistant Professor and Director of the Living Machines Laboratory and receiver of the National Natural Sciences Foundation of China 2019 Grant and the Oriental Talent 2019 Award.
His research interests are related to evolutionary robotics, soft manipulation and robotic locomotion. Robots are increasingly present in our lives, and they must be safe to interact with humans while also being capable of adapting to our world. Andre's research combines walking robots capable of intelligently creating themselves, with safe humans/environment interactions through soft materials. His research output was recognized by one special with Discovery Channel, two IEEE Spectrum articles (here and here), and online articles (ENG, CHI). He has published more than 30 scientific papers in more than 10 IEEE conferences, was a program committee for MOD 2017, a keynote speaker for ICINCO 2017, and currently holds an Erdos number of 5. He is an Associate Editor for the IEEE ICORR 2019 and was a Guest Editor for the IEEE Robotics and Automation Magazine and a referee for Science Robotics, IEEE Transactions on Robotics, IEEE Trans. on Mechatronics, IEEE Intl. Conf. on Intelligent Robots and Systems, and IEEE Intl. Conf. on Automation and Robotics.
Zhu, J.; Li, S.; Wang, Z.; ROSENDO, A.. Bayesian Optimization of a Quadruped Robot During 3-Dimensional Locomotion, Intl. Conf. on Biomimetic and Biohybrid Systems, Living Machines, Japan, 2019
Zhang, Y.; Zhu, W.; ROSENDO, A.. QR code-based self-calibration for a fault-tolerant industrial robot arm, IEEE Access, accepted, 2019.
Zhu, J.; Li, S.; Wang, Z.; ROSENDO, A.. Influences of incremental mechanical damage on the Bayesian Optimization of a quadruped robot, IEEE Intl. Conf. on Robotics and Automation, Workshop Towards Real-world development of Legged Robots, Canada, 2019.
Liu, X.; ROSENDO, A.; Ikemoto, S.; Shimizu, M.; Hosoda, K.. Robotic investigation on effect of stretch reflexand crossed inhibitory response on bipedal hopping. Journal of the Royal Society Interface, 15(140), 2018.
Saar, K.; ROSENDO, A.; Iida, F.. Bayesian optimization of gaits on a bipedal SLIP model, IEEE Intl. Conf. on Robotics and Biomimetics, pp. 1812-1817, Macau, 2017.
ROSENDO, A.; Houseago, C.; and Iida, F.. Lessons on the Reality-Gap: Iterations between Virtual and Real Robots. Intl. Conf. on Artificial Life and Robotics (pp. 153-156), Japan, 2018.
Liu, X.; ROSENDO, A.; Ikemoto, S.; Shimizu, M.; Hosoda, K.. Robotic investigation on effect of stretch reflex and crossed inhibitory response on bipedal hopping, J. Royal Society Interface, Vol. 15, March, 2018.
ROSENDO, A. ; von Atzigen, M. ; Iida, F.. The trade-off between morphology and control in the co-optimized design of robots, PLoS ONE, vol. 12, no 10, e0186107, 2017.
Vujovic, V. ; ROSENDO, A. ; Brodbeck, L. ; Iida, F.. Evolutionary developmental robotics: Improving locomotion of physical robots. Artificial Life (IF= 1.96), v23, no 2, 2017.
Jones, G. ; ROSENDO, A.; Stopforth, R.. Prosthetic design directives: Low-cost hands within reach. IEEE Intl. Conf. on Rehabilitation Robotics, IEEE ICORR 2017, London.