Alumni
Franziska Meier is a research scientist at the Max-Planck Institute for Intelligent Systems since August 2016. She is also a postdoctoral researcher with Dieter Fox at the University of Washington, Seattle, since February 2017. Before that she was a PhD student at the University of Southern California. She defended her thesis on “Probabilistic Machine Learning for Robotics” in 2016, under the supervision of Prof. Stefan Schaal. Prior to her PhD studies, she received her Diploma in Computer Science from the Technical University of Munich and attended the Georgia Institute of Technology as graduate student in Computer Science. Her research interests lie at the intersection of machine learning and robotics, with a special emphasis on continuous learning for intelligent agents.
Life-long Learning Machine Learning Learning Control Humanoid Robotics
One challenge towards autonomous manipulation is to cope with uncertainty and noise in the sensory-motor system of the robot and the environment. We argue that such a system requires to close feedback control loops in novel ways, using predictive models and leveraging previous experiences.
Manipulation tasks often decompos...
Stefan Schaal Manuel Wüthrich Peter Pastor Mrinal Kalakrishnan Franzi Meier Daniel Kappler
Decision making requires knowledge of some variables of interest. In the vast majority of real-world problems, these variables are latent, i.e. they cannot be observed directly and must be inferred from available measurements. To maintain an up-to-date distribution over the latent variables, past beliefs have to ...
Manuel Wüthrich Sebastian Trimpe Cristina Garcia Cifuentes Jan Issac Daniel Kappler Franzi Meier Jeannette Bohg Stefan Schaal
Besides accuracy and sample efficiency, computational cost is a crucial design criterion for machine learning algorithms in real-time settings, such as control problems. An example is the modeling of robot dynamics: The sensors in a robot can produce thousands of data points per second, quickly amassing a coverage of the task relate...
In order to perform well in day to day tasks, humanoid robots need to be able to adapt to the changes in their work environments. In response to a change in the environment, the robot can pursue at least two different strategies: First, it could re-plan, a process that is often computational...
Hand-eye coordination is crucial for capable manipulation of objects. It requires to know the manipulator's and the objects' locations. These locations have to be inferred from sensory data. In this project we work with range sensors, which are wide spread in robotics and provide dense depth images.
...Manuel Wüthrich Jan Issac Cristina Garcia Cifuentes Jeannette Bohg Claudia Pfreundt Peter Pastor Mrinal Kalakrishnan Daniel Kappler Sebastian Trimpe Franzi Meier Stefan Schaal
We address the challenging problem of robotic grasping and manipulation in the presence of uncertainty. This uncertainty is due to noisy sensing, inaccurate models and hard-to-predict environment dynamics. Our approach emphasizes the importance of continuous, real-time perception and its tight integration with reactive motion genera...
Jeannette Bohg Daniel Kappler Franzi Meier Jan Issac Jim Mainprice Cristina Garcia Cifuentes Manuel Wüthrich Vincent Berenz Stefan Schaal Nathan Ratliff
(Best Systems Paper Finalists - Amazon Robotics Best Paper Awards in Manipulation)
Kappler, D., Meier, F., Issac, J., Mainprice, J., Garcia Cifuentes, C., Wüthrich, M., Berenz, V., Schaal, S., Ratliff, N., Bohg, J.
IEEE Robotics and Automation Letters, 3(3):1864-1871, July 2018 (article)
am
(nominated for best paper award)
Meier, F., Kappler, D., Schaal, S.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2018, IEEE, International Conference on Robotics and Automation, May 2018, accepted (inproceedings)
am
am
am
am
Bohg, J., Kappler, D., Meier, F., Ratliff, N., Mainprice, J., Issac, J., Wüthrich, M., Garcia Cifuentes, C., Berenz, V., Schaal, S.
In International Workshop on Robotics in the 21st century: Challenges and Promises, September 2016 (inproceedings)am
am
Wüthrich, M., Garcia Cifuentes, C., Trimpe, S., Meier, F., Bohg, J., Issac, J., Schaal, S.
In Proceedings of the American Control Conference (ACC), Boston, MA, USA, July 2016 (inproceedings)
am ics
am
Meier, F., Kappler, D., Ratliff, N., Schaal, S.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, IEEE, IROS, 2016 (conference) Acceptedam
Ting, J., Meier, F., Vijayakumar, S., Schaal, S.
In Encyclopedia of Machine Learning and Data Mining, pages: 1-14, Springer US, Boston, MA, 2016 (inbook)am
Meier, F., Hennig, P., Schaal, S.
arXiv preprint, March 2014, clmc (misc)
am pn
Rai, A., Meier, F., Ijspeert, A., Schaal, S.
In International Conference on Humanoid Robotics, pages: 512-518, IEEE, 2014, clmc (inproceedings)
am
Meier, F., Hennig, P., Schaal, S.
In Advances in Neural Information Processing Systems 27, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)am ei pn
Meier, F., Hennig, P., Schaal, S.
In Proceedings of the IEEE International Conference on Intelligent Robots and Systems, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)
am ei pn
Meier, F., Theodorou, E., Schaal, S.
In Seventeenth International Conference on Artificial Intelligence and Statistics, La Palma, Canary Islands, Fifteenth International Conference on Artificial Intelligence and Statistics , April 2012 (inproceedings)am
Pastor, P., Kalakrishnan, M., Meier, F., Stulp, F., Buchli, J., Theodorou, E., Schaal, S.
Robotics and Autonomous Systems, 2012 (article)am
Meier, F., Theodorou, E., Stulp, F., Schaal, S.
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), Sept. 25-30, San Francisco, CA, 2011, clmc (inproceedings)
am