Franziska Meier

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 71

Top Topics

Inverse Dynamics

Top Venues

IEEE Robotics Autom. Lett.

Publications

Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA (2024)
Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam
Neural Grasp Distance Fields for Robot Manipulation. ICRA (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS (2023)
Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. CoRR (2023)
Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. CoRR (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR (2023)
Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. ICLR (2023)
Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR (2023)
Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR (2023)
Sarah Bechtle, Neha Das, Franziska Meier
Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. IEEE Trans. Robotics 39 (2) (2023)
Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR (2023)
Sarah Bechtle, Ludovic Righetti, Franziska Meier
Model Based Meta Learning of Critics for Policy Gradients. CoRR (2022)
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
Cross-Domain Transfer via Semantic Skill Imitation. CoRL (2022)
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. 41 (13-14) (2022)
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
Block Contextual MDPs for Continual Learning. L4DC (2022)
Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam
Neural Grasp Distance Fields for Robot Manipulation. CoRR (2022)
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah
Differentiable and Learnable Robot Models. CoRR (2022)
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
Cross-Domain Transfer via Semantic Skill Imitation. CoRR (2022)
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
Block Contextual MDPs for Continual Learning. CoRR (2021)
Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR (2021)
Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. IROS (2021)
Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS (2021)
Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti
Leveraging Forward Model Prediction Error for Learning Control. ICRA (2021)
Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh 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
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR (2021)
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. 6 (2) (2021)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. CoRR (2020)
Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti
Leveraging Forward Model Prediction Error for Learning Control. CoRR (2020)
Sarah Bechtle, Neha Das, Franziska Meier
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. CoRR (2020)
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
Residual Learning from Demonstration. CoRR (2020)
Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. CoRR (2020)
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
Learning State-Dependent Losses for Inverse Dynamics Learning. IROS (2020)
Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR (2020)
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR (2020)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA (2020)
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. L4DC (2020)
Jennifer C. Shih, Franziska Meier, Akshara Rai
A Framework for Online Updates to Safe Sets for Uncertain Dynamics. IROS (2020)
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR (2020)
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
Adversarial Continual Learning. ECCV (11) (2020)
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR (2020)
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR (2020)
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR (2020)
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL (2020)
Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier
Meta Learning via Learned Loss. ICPR (2020)
Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL (2019)
Kevin Hitzler, Franziska Meier, Stefan Schaal, Tamim Asfour
Learning and Adaptation of Inverse Dynamics Models: A Comparison. Humanoids (2019)
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
Generalized Inner Loop Meta-Learning. CoRR (2019)
Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR (2019)
Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. J. Mach. Learn. Res. 20 (2019)
Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme
Meta-Learning via Learned Loss. CoRR (2019)
Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR (2019)
Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. CoRR (2018)
Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. ICRA (2018)
Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg
Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics Autom. Lett. 3 (3) (2018)
Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis Gopal Banerjee
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. CoRR (2018)
Franziska Meier, Daniel Kappler, Stefan Schaal
Online Learning of a Memory for Learning Rates. ICRA (2018)
Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. ICRA (2018)
Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
A New Data Source for Inverse Dynamics Learning. CoRR (2017)
Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. CoRR (2017)
Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control. CoRR (2017)
Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier
Learning feedback terms for reactive planning and control. ICRA (2017)
Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
A new data source for inverse dynamics learning. IROS (2017)
Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg
Real-time Perception meets Reactive Motion Generation. CoRR (2017)
Franziska Meier, Daniel Kappler, Stefan Schaal
Online Learning of a Memory for Learning Rates. CoRR (2017)
Franziska Meier, Stefan Schaal
Drifting Gaussian processes with varying neighborhood sizes for online model learning. ICRA (2016)
Franziska Meier, Stefan Schaal
A Probabilistic Representation for Dynamic Movement Primitives. CoRR (2016)
Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR (2016)
Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal
Towards robust online inverse dynamics learning. IROS (2016)
Akshara Rai, Giovanni Sutanto, Franziska Meier, Stefan Schaal
Learning Feedback Terms for Reactive Planning and Control. CoRR (2016)
Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4 (4) (2016)
Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal
Robust Gaussian filtering using a pseudo measurement. ACC (2016)
Akshara Rai, Franziska Meier, Auke Jan Ijspeert, Stefan Schaal
Learning coupling terms for obstacle avoidance. Humanoids (2014)
Franziska Meier, Philipp Hennig, Stefan Schaal
Local Gaussian Regression. CoRR (2014)
Franziska Meier, Philipp Hennig, Stefan Schaal
Efficient Bayesian local model learning for control. IROS (2014)
Franziska Meier, Philipp Hennig, Stefan Schaal
Incremental Local Gaussian Regression. NIPS (2014)
Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal
From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. 61 (4) (2013)
Franziska Meier, Evangelos A. Theodorou, Stefan Schaal
Movement Segmentation and Recognition for Imitation Learning. AISTATS (2012)
Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal
Movement segmentation using a primitive library. IROS (2011)
Radu Bogdan Rusu, Jan Bandouch, Franziska Meier, Irfan A. Essa, Michael Beetz
Human Action Recognition Using Global Point Feature Histograms and Action Shapes. Adv. Robotics 23 (14) (2009)
Matthias Grundmann, Franziska Meier, Irfan A. Essa
3D Shape Context and Distance Transform for action recognition. ICPR (2008)
Fabian Birzele, Robert Küffner, Franziska Meier, Florian Oefinger, Christian Potthast, Ralf Zimmer
ProSAS: a database for analyzing alternative splicing in the context of protein structures. Nucleic Acids Res. 36 (Database-Issue) (2008)