3D Shape Context and Distance Transform for action recognition. - Matthias Grundmann; Franziska Meier; Irfan A. Essa (ICPR, 2008)

ProSAS: a database for analyzing alternative splicing in the context of protein structures. - Fabian Birzele; Robert Küffner; Franziska Meier; Florian Oefinger; Christian Potthast; Ralf Zimmer (Nucleic Acids Res., 2008)

Human Action Recognition Using Global Point Feature Histograms and Action Shapes. - Radu Bogdan Rusu; Jan Bandouch; Franziska Meier; Irfan A. Essa; Michael Beetz (Adv. Robotics, 2009)

Movement segmentation using a primitive library. - Franziska Meier; Evangelos A. Theodorou; Freek Stulp; Stefan Schaal (IROS, 2011)

Movement Segmentation and Recognition for Imitation Learning. - Franziska Meier; Evangelos A. Theodorou; Stefan Schaal (AISTATS, 2012)

From dynamic movement primitives to associative skill memories. - Peter Pastor; Mrinal Kalakrishnan; Franziska Meier; Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Robotics Auton. Syst., 2013)

Learning coupling terms for obstacle avoidance. - Akshara Rai; Franziska Meier; Auke Jan Ijspeert; Stefan Schaal (Humanoids, 2014)

Efficient Bayesian local model learning for control. - Franziska Meier; Philipp Hennig; Stefan Schaal (IROS, 2014)

Incremental Local Gaussian Regression. - Franziska Meier; Philipp Hennig; Stefan Schaal (NIPS, 2014)

Local Gaussian Regression. - Franziska Meier; Philipp Hennig; Stefan Schaal (CoRR, 2014)

Robust Gaussian filtering using a pseudo measurement. - Manuel Wuthrich; Cristina Garcia Cifuentes; Sebastian Trimpe; Franziska Meier; Jeannette Bohg; Jan Issac; Stefan Schaal (ACC, 2016)

Drifting Gaussian processes with varying neighborhood sizes for online model learning. - Franziska Meier; Stefan Schaal (ICRA, 2016)

Towards robust online inverse dynamics learning. - Franziska Meier; Daniel Kappler; Nathan D. Ratliff; Stefan Schaal (IROS, 2016)

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. - Nathan D. Ratliff; Franziska Meier; Daniel Kappler; Stefan Schaal (Big Data, 2016)

A Probabilistic Representation for Dynamic Movement Primitives. - Franziska Meier; Stefan Schaal (CoRR, 2016)

Learning feedback terms for reactive planning and control. - Akshara Rai; Giovanni Sutanto; Stefan Schaal; Franziska Meier (ICRA, 2017)

A new data source for inverse dynamics learning. - Daniel Kappler; Franziska Meier; Nathan D. Ratliff; Stefan Schaal (IROS, 2017)

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control. - Arunkumar Byravan; Felix Leeb; Franziska Meier; Dieter Fox (CoRR, 2017)

Locally Weighted Regression for Control. - Jo-Anne Ting; Franziska Meier; Sethu Vijayakumar; Stefan Schaal (Encyclopedia of Machine Learning and Data Mining, 2017)

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. - Arunkumar Byravan; Felix Leeb; Franziska Meier; Dieter Fox (ICRA, 2018)

Online Learning of a Memory for Learning Rates. - Franziska Meier; Daniel Kappler; Stefan Schaal (ICRA, 2018)

Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. - Giovanni Sutanto; Zhe Su; Stefan Schaal; Franziska Meier (ICRA, 2018)

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. - Behnoosh Parsa; Keshav Rajasekaran; Franziska Meier; Ashis Gopal Banerjee (CoRR, 2018)

Real-Time Perception Meets Reactive Motion Generation. - Daniel Kappler; Franziska Meier; Jan Issac; Jim Mainprice; Cristina Garcia Cifuentes; Manuel Wuthrich; Vincent Berenz; Stefan Schaal; Nathan D. Ratliff; Jeannette Bohg (IEEE Robotics Autom. Lett., 2018)

Curious iLQR: Resolving Uncertainty in Model-based RL. - Sarah Bechtle; Yixin Lin; Akshara Rai; Ludovic Righetti; Franziska Meier (CoRL, 2019)

Learning and Adaptation of Inverse Dynamics Models: A Comparison. - Kevin Hitzler; Franziska Meier; Stefan Schaal; Tamim Asfour (Humanoids, 2019)

Meta-Learning via Learned Loss. - Yevgen Chebotar; Artem Molchanov; Sarah Bechtle; Ludovic Righetti; Franziska Meier; Gaurav S. Sukhatme (CoRR, 2019)

Generalized Inner Loop Meta-Learning. - Edward Grefenstette; Brandon Amos; Denis Yarats; Phu Mon Htut; Artem Molchanov; Franziska Meier; Douwe Kiela; Kyunghyun Cho; Soumith Chintala (CoRR, 2019)

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. - Akshara Rai; Rika Antonova; Franziska Meier; Christopher G. Atkeson (J. Mach. Learn. Res., 2019)

Model-Based Inverse Reinforcement Learning from Visual Demonstrations. - Neha Das; Sarah Bechtle; Todor Davchev; Dinesh Jayaraman; Akshara Rai; Franziska Meier (CoRL, 2020)

Adversarial Continual Learning. - Sayna Ebrahimi; Franziska Meier; Roberto Calandra; Trevor Darrell; Marcus Rohrbach (ECCV (11), 2020)

Meta Learning via Learned Loss. - Sarah Bechtle; Artem Molchanov; Yevgen Chebotar; Edward Grefenstette; Ludovic Righetti; Gaurav S. Sukhatme; Franziska Meier (ICPR, 2020)

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. - Tianyu Li; Nathan O. Lambert; Roberto Calandra; Franziska Meier; Akshara Rai (ICRA, 2020)

Learning State-Dependent Losses for Inverse Dynamics Learning. - Kristen Morse; Neha Das; Yixin Lin; Austin S. Wang; Akshara Rai; Franziska Meier (IROS, 2020)

A Framework for Online Updates to Safe Sets for Uncertain Dynamics. - Jennifer C. Shih; Franziska Meier; Akshara Rai (IROS, 2020)

Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. - Giovanni Sutanto; Austin S. Wang; Yixin Lin; Mustafa Mukadam; Gaurav S. Sukhatme; Akshara Rai; Franziska Meier (L4DC, 2020)

Residual Learning from Demonstration. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (CoRR, 2020)

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. - Kalesha Bullard; Franziska Meier; Douwe Kiela; Joelle Pineau; Jakob N. Foerster (CoRR, 2020)

Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. - Sarah Bechtle; Neha Das; Franziska Meier (CoRR, 2020)

Leveraging Forward Model Prediction Error for Learning Control. - Sarah Bechtle; Bilal Hammoud; Akshara Rai; Franziska Meier; Ludovic Righetti (ICRA, 2021)

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. - Joanne Truong; Denis Yarats; Tianyu Li; Franziska Meier; Sonia Chernova; Dhruv Batra; Akshara Rai (IROS, 2021)

Habitat 2.0: Training Home Assistants to Rearrange their Habitat. - 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; et al. (NeurIPS, 2021)

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. - Todor Davchev; Sarah Bechtle; Subramanian Ramamoorthy; Franziska Meier (CoRR, 2021)

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. - Tianyu Li; Roberto Calandra; Deepak Pathak; Yuandong Tian; Franziska Meier; Akshara Rai (IEEE Robotics Autom. Lett., 2021)

Cross-Domain Transfer via Semantic Skill Imitation. - Karl Pertsch; Ruta Desai; Vikash Kumar; Franziska Meier; Joseph J. Lim; Dhruv Batra; Akshara Rai (CoRL, 2022)

Block Contextual MDPs for Continual Learning. - Shagun Sodhani; Franziska Meier; Joelle Pineau; Amy Zhang 001 (L4DC, 2022)

Differentiable and Learnable Robot Models. - Franziska Meier; Austin S. Wang; Giovanni Sutanto; Yixin Lin; Paarth Shah (CoRR, 2022)

Model Based Meta Learning of Critics for Policy Gradients. - Sarah Bechtle; Ludovic Righetti; Franziska Meier (CoRR, 2022)

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. - Giovanni Sutanto; Katharina Rombach; Yevgen Chebotar; Zhe Su; Stefan Schaal; Gaurav S. Sukhatme; Franziska Meier (Int. J. Robotics Res., 2022)

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2022)

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. - Michael Chang 003; Alyssa L. Dayan; Franziska Meier; Thomas L. Griffiths 001; Sergey Levine; Amy Zhang 001 (ICLR, 2023)

BC-IRL: Learning Generalizable Reward Functions from Demonstrations. - Andrew Szot; Amy Zhang 001; Dhruv Batra; Zsolt Kira; Franziska Meier (ICLR, 2023)

Neural Grasp Distance Fields for Robot Manipulation. - Thomas Weng; David Held; Franziska Meier; Mustafa Mukadam (ICRA, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - 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; et al. (NeurIPS, 2023)

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. - Michael Chang 003; Alyssa L. Dayan; Franziska Meier; Thomas L. Griffiths 001; Sergey Levine; Amy Zhang 001 (CoRR, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - 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; et al. (CoRR, 2023)

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. - Matthias De Lange; Hamid Eghbalzadeh; Reuben Tan; Michael L. Iuzzolino; Franziska Meier; Karl Ridgeway (CoRR, 2023)

Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation. - Sarah Bechtle; Neha Das; Franziska Meier (IEEE Trans. Robotics, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? - 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; et al. (ICRA, 2024)

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. - Jianing Yang; Alexander Sax; Kevin J. Liang; Mikael Henaff; Hao Tang; Ang Cao; Joyce Chai; Franziska Meier; Matt Feiszli (CVPR, 2025)

LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. - Ang Cao; Sergio Arnaud; Oleksandr Maksymets; Jianing Yang; Ayush Jain; Sriram Yenamandra; Ada Martin; Vincent-Pierre Berges; Paul McVay; Ruslan Partsey; Aravind Rajeswaran; Franziska Meier; et al. (CoRR, 2025)

Unifying 2D and 3D Vision-Language Understanding. - Ayush Jain; Alexander Swerdlow; Yuzhou Wang; Sergio Arnaud; Ada Martin; Alexander Sax; Franziska Meier; Katerina Fragkiadaki (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)

Embodied AI Agents: Modeling the World. - Pascale Fung; Yoram Bachrach; Asli Celikyilmaz; Kamalika Chaudhuri; Delong Chen; Willy Chung; Emmanuel Dupoux; Hervé Jégou; Alessandro Lazaric; Arjun Majumdar; Andrea Madotto; Franziska Meier; et al. (CoRR, 2025)