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Franziska Meier
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2020 – today
- 2024
- [c34]Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [c33]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: 17515-17521 - 2023
- [j10]Sarah Bechtle
, Neha Das, Franziska Meier
Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. IEEE Trans. Robotics 39(2): 1212-1224 (2023) - [c32]Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang:
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. ICLR 2023 - [c31]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR 2023 - [c30]Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam:
Neural Grasp Distance Fields for Robot Manipulation. ICRA 2023: 1814-1821 - [c29]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 - [i38]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 abs/2303.11373 (2023) - [i37]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR abs/2303.16194 (2023) - [i36]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 abs/2303.18240 (2023) - [i35]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 abs/2307.05784 (2023) - [i34]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 abs/2310.02219 (2023) - 2022
- [j9]Giovanni Sutanto
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. 41(13-14): 1121-1145 (2022) - [j8]Todor Davchev
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(2): 4488-4495 (2022) - [c28]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRL 2022: 690-700 - [c27]Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang:
Block Contextual MDPs for Continual Learning. L4DC 2022: 608-623 - [i33]Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah:
Differentiable and Learnable Robot Models. CoRR abs/2202.11217 (2022) - [i32]Sarah Bechtle, Ludovic Righetti, Franziska Meier:
Model Based Meta Learning of Critics for Policy Gradients. CoRR abs/2204.02210 (2022) - [i31]Thomas Weng, David Held
Neural Grasp Distance Fields for Robot Manipulation. CoRR abs/2211.02647 (2022) - [i30]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRR abs/2212.07407 (2022) - 2021
- [j7]Tianyu Li
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. 6(2): 2682-2689 (2021) - [c26]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti
Leveraging Forward Model Prediction Error for Learning Control. ICRA 2021: 4445-4451 - [c25]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: 484-491 - [c24]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. 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: 251-266 - [i29]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. 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. CoRR abs/2106.14405 (2021) - [i28]Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier:
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR abs/2107.03186 (2021) - [i27]Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang:
Block Contextual MDPs for Continual Learning. CoRR abs/2110.06972 (2021) - 2020
- [c23]Neha Das
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRL 2020: 1930-1942 - [c22]Sayna Ebrahimi, Franziska Meier, Roberto Calandra
Adversarial Continual Learning. ECCV (11) 2020: 386-402 - [c21]Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti
Meta Learning via Learned Loss. ICPR 2020: 4161-4168 - [c20]Tianyu Li, Nathan O. Lambert, Roberto Calandra
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. ICRA 2020: 413-419 - [c19]Kristen Morse, Neha Das
Learning State-Dependent Losses for Inverse Dynamics Learning. IROS 2020: 5261-5268 - [c18]Jennifer C. Shih, Franziska Meier, Akshara Rai:
A Framework for Online Updates to Safe Sets for Uncertain Dynamics. IROS 2020: 5994-6001 - [c17]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: 804-813 - [i26]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 abs/2001.08861 (2020) - [i25]Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR abs/2003.04947 (2020) - [i24]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. CoRR abs/2003.09553 (2020) - [i23]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 abs/2007.00450 (2020) - [i22]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020) - [i21]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR abs/2008.11867 (2020) - [i20]Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier:
Model-Based Inverse Reinforcement Learning from Visual Demonstrations. CoRR abs/2010.09034 (2020) - [i19]Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster:
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR abs/2010.15896 (2020) - [i18]Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. CoRR abs/2011.03859 (2020) - [i17]Sarah Bechtle, Neha Das, Franziska Meier:
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. CoRR abs/2011.03882 (2020) - [i16]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 abs/2011.12255 (2020)
2010 – 2019
- 2019
- [j6]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: 49:1-49:24 (2019) - [c16]Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL 2019: 162-171 - [c15]Kevin Hitzler, Franziska Meier, Stefan Schaal, Tamim Asfour
Learning and Adaptation of Inverse Dynamics Models: A Comparison. Humanoids 2019: 491-498 - [i15]Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR abs/1904.06786 (2019) - [i14]Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti
Meta-Learning via Learned Loss. CoRR abs/1906.05374 (2019) - [i13]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR abs/1909.12324 (2019) - [i12]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 abs/1910.01727 (2019) - 2018
- [j5]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): 1864-1871 (2018) - [c14]Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox:
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. ICRA 2018: 1-8 - [c13]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. ICRA 2018: 1142-1149 - [c12]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. ICRA 2018: 2425-2432 - [i11]Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. CoRR abs/1805.02732 (2018) - [i10]Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis Gopal Banerjee:
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. CoRR abs/1807.03931 (2018) - 2017
- [c11]Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier:
Learning feedback terms for reactive planning and control. ICRA 2017: 2184-2191 - [c10]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A new data source for inverse dynamics learning. IROS 2017: 4723-4730 - [r1]Jo-Anne Ting, Franziska Meier, Sethu Vijayakumar, Stefan Schaal:
Locally Weighted Regression for Control. Encyclopedia of Machine Learning and Data Mining 2017: 759-772 - [i9]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 abs/1703.03512 (2017) - [i8]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. CoRR abs/1709.06709 (2017) - [i7]Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox:
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control. CoRR abs/1710.00489 (2017) - [i6]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A New Data Source for Inverse Dynamics Learning. CoRR abs/1710.02513 (2017) - [i5]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. CoRR abs/1710.08555 (2017) - 2016
- [j4]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4(4): 253-268 (2016) - [c9]Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe
Robust Gaussian filtering using a pseudo measurement. ACC 2016: 3606-3613 - [c8]Franziska Meier, Stefan Schaal:
Drifting Gaussian processes with varying neighborhood sizes for online model learning. ICRA 2016: 264-269 - [c7]Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal:
Towards robust online inverse dynamics learning. IROS 2016: 4034-4039 - [i4]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR abs/1608.00309 (2016) - [i3]Akshara Rai, Giovanni Sutanto, Franziska Meier, Stefan Schaal:
Learning Feedback Terms for Reactive Planning and Control. CoRR abs/1610.03557 (2016) - [i2]Franziska Meier, Stefan Schaal:
A Probabilistic Representation for Dynamic Movement Primitives. CoRR abs/1612.05932 (2016) - 2014
- [c6]Akshara Rai, Franziska Meier, Auke Jan Ijspeert
Learning coupling terms for obstacle avoidance. Humanoids 2014: 512-518 - [c5]Franziska Meier, Philipp Hennig, Stefan Schaal:
Efficient Bayesian local model learning for control. IROS 2014: 2244-2249 - [c4]Franziska Meier, Philipp Hennig, Stefan Schaal:
Incremental Local Gaussian Regression. NIPS 2014: 972-980 - [i1]Franziska Meier, Philipp Hennig, Stefan Schaal:
Local Gaussian Regression. CoRR abs/1402.0645 (2014) - 2013
- [j3]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): 351-361 (2013) - 2012
- [c3]Franziska Meier, Evangelos A. Theodorou, Stefan Schaal:
Movement Segmentation and Recognition for Imitation Learning. AISTATS 2012: 761-769 - 2011
- [c2]Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Movement segmentation using a primitive library. IROS 2011: 3407-3412
2000 – 2009
- 2009
- [j2]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): 1873-1908 (2009) - 2008
- [j1]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): 63-68 (2008) - [c1]Matthias Grundmann, Franziska Meier, Irfan A. Essa:
3D Shape Context and Distance Transform for action recognition. ICPR 2008: 1-4
Coauthor Index
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last updated on 2024-10-30 20:35 CET by the dblp team
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