Franziska Meier

Orcid: 0000-0003-1640-4619

According to our database1, Franziska Meier authored at least 60 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?
Proceedings of the IEEE International Conference on Robotics and Automation, 2024


2023
Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation.
IEEE Trans. Robotics, April, 2023

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video.
CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
CoRR, 2023

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.
CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Grasp Distance Fields for Robot Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BC-IRL: Learning Generalizable Reward Functions from Demonstrations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation.
IEEE Robotics Autom. Lett., 2022

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed.
Int. J. Robotics Res., 2022

Model Based Meta Learning of Critics for Policy Gradients.
CoRR, 2022

Differentiable and Learnable Robot Models.
CoRR, 2022

Block Contextual MDPs for Continual Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Cross-Domain Transfer via Semantic Skill Imitation.
Proceedings of the Conference on Robot Learning, 2022

2021
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion.
IEEE Robotics Autom. Lett., 2021

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.
CoRR, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Leveraging Forward Model Prediction Error for Learning Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.
CoRR, 2020

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations.
CoRR, 2020

Residual Learning from Demonstration.
CoRR, 2020

Encoding Physical Constraints in Differentiable Newton-Euler Algorithm.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Framework for Online Updates to Safe Sets for Uncertain Dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning State-Dependent Losses for Inverse Dynamics Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Meta Learning via Learned Loss.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adversarial Continual Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Model-Based Inverse Reinforcement Learning from Visual Demonstrations.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots.
J. Mach. Learn. Res., 2019

Generalized Inner Loop Meta-Learning.
CoRR, 2019

Meta-Learning via Learned Loss.
CoRR, 2019

Learning and Adaptation of Inverse Dynamics Models: A Comparison.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Curious iLQR: Resolving Uncertainty in Model-based RL.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Real-Time Perception Meets Reactive Motion Generation.
IEEE Robotics Autom. Lett., 2018

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation.
CoRR, 2018

Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Online Learning of a Memory for Learning Rates.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Locally Weighted Regression for Control.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control.
CoRR, 2017

A new data source for inverse dynamics learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning feedback terms for reactive planning and control.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
A Probabilistic Representation for Dynamic Movement Primitives.
CoRR, 2016

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics.
Big Data, 2016

Towards robust online inverse dynamics learning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Drifting Gaussian processes with varying neighborhood sizes for online model learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Robust Gaussian filtering using a pseudo measurement.
Proceedings of the 2016 American Control Conference, 2016

2014
Local Gaussian Regression.
CoRR, 2014

Incremental Local Gaussian Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Efficient Bayesian local model learning for control.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning coupling terms for obstacle avoidance.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
From dynamic movement primitives to associative skill memories.
Robotics Auton. Syst., 2013

2012
Movement Segmentation and Recognition for Imitation Learning.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Movement segmentation using a primitive library.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2009
Human Action Recognition Using Global Point Feature Histograms and Action Shapes.
Adv. Robotics, 2009

2008
ProSAS: a database for analyzing alternative splicing in the context of protein structures.
Nucleic Acids Res., 2008

3D Shape Context and Distance Transform for action recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


  Loading...