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Franziska Meier

AMD, MPI for Intelligent Systems, Tübingen, Germany, Lula Robotics Inc, Seattle, USA, RSE Lab, University of Washington, Seattle, USA

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning

Jul 07, 2021
Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier

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Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Jun 28, 2021
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

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Learning Navigation Skills for Legged Robots with Learned Robot Embeddings

Nov 24, 2020
Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai

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Learning Extended Body Schemas from Visual Keypoints for Object Manipulation

Nov 08, 2020
Sarah Bechtle, Neha Das, Franziska Meier

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Leveraging Forward Model Prediction Error for Learning Control

Nov 07, 2020
Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti

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Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations

Oct 29, 2020
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob Foerster

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Model-Based Inverse Reinforcement Learning from Visual Demonstrations

Oct 18, 2020
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

* Accepted at the 4th Conference on Robotic Learning (CoRL 2020), Cambridge MA, USA 

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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion

Sep 18, 2020
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai

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Residual Learning from Demonstration

Aug 18, 2020
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

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Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed

Jun 29, 2020
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier

* Submitted to the International Journal of Robotics Research. Paper length is 21 pages (including references) with 12 figures. A video overview of the reinforcement learning experiment on the real robot can be seen at arXiv admin note: text overlap with arXiv:1710.08555 

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Adversarial Continual Learning

Mar 21, 2020
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

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Learning State-Dependent Losses for Inverse Dynamics Learning

Mar 12, 2020
Kristen Morse, Neha Das, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier

* 9 pages, 8 figures, submitted to IROS 2020, Kristen Morse and Neha Das had equal contribution 

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Encoding Physical Constraints in Differentiable Newton-Euler Algorithm

Feb 19, 2020
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

* 10 pages (i.e. 8 pages of technical content and 2 pages of the Bibliography/References), submitted and currently under review for publication at the 2nd Learning for Dynamics and Control (L4DC) Conference, year 2020 

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Generalized Inner Loop Meta-Learning

Oct 07, 2019
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala

* 17 pages, 3 figures, 1 algorithm 

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Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

Sep 26, 2019
Tianyu Li, Nathan Lambert, Roberto Calandra, Franziska Meier, Akshara Rai

* Submitted to 2020 ICRA 

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Meta-Learning via Learned Loss

Jun 12, 2019
Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav Sukhatme

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Curious iLQR: Resolving Uncertainty in Model-based RL

Apr 15, 2019
Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier

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A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

Aug 01, 2018
Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis G. Banerjee

* 38 pages, 9 figures 

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Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots

May 07, 2018
Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

* The first two authors made equal contributions 

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Online Learning of a Memory for Learning Rates

Mar 23, 2018
Franziska Meier, Daniel Kappler, Stefan Schaal

* accepted to ICRA 2018, code available: ; video pitch available: 

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Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks

Mar 15, 2018
Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier

* 8 pages, accepted to be published at the International Conference on Robotics and Automation (ICRA) 2018 

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A New Data Source for Inverse Dynamics Learning

Oct 06, 2017
Daniel Kappler, Franziska Meier, Nathan Ratliff, Stefan Schaal

* IROS 2017 

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Real-time Perception meets Reactive Motion Generation

Oct 06, 2017
Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan Ratliff, Jeannette Bohg

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SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control

Oct 02, 2017
Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox

* 8 pages, Initial submission to IEEE International Conference on Robotics and Automation (ICRA) 2018 

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Learning Feedback Terms for Reactive Planning and Control

Mar 03, 2017
Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier

* 8 pages, accepted to be published at ICRA 2017 conference 

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A Probabilistic Representation for Dynamic Movement Primitives

Dec 18, 2016
Franziska Meier, Stefan Schaal

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