Learning to feel the physics of a body. - Ralf Der; Frank Hesse; Georg Martius (CIMCA/IAWTIC, 2005)

From Motor Babbling to Purposive Actions: Emerging Self-exploration in a Dynamical Systems Approach to Early Robot Development. - Ralf Der; Georg Martius (SAB, 2006)

Rocking Stamper and Jumping Snakes from a Dynamical Systems Approach to Artificial Life. - Ralf Der; Frank Hesse; Georg Martius (Adapt. Behav., 2006)

Guided Self-organisation for Autonomous Robot Development. - Georg Martius; J. Michael Herrmann; Ralf Der (ECAL, 2007)

Structure from behavior in autonomous agents. - Georg Martius; Katja Fiedler; J. Michael Herrmann (IROS, 2008)

Emergence of Interaction among Adaptive Agents. - Georg Martius; Stefano Nolfi; J. Michael Herrmann (SAB, 2008)

Converting DNA to Music: ComposAlign. - Todd Ingalls; Georg Martius; Manja Marz; Sonja J. Proshaka; Marc Hellmuth (GCB, 2009)

A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. - Frank Hesse; Georg Martius; Ralf Der; J. Michael Herrmann (Algorithms, 2009)

Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. - Georg Martius; J. Michael Herrmann (SAB, 2010)

Tipping the scales: guidance and intrinsically motivated behavior. - Georg Martius; J. Michael Herrmann (ECAL, 2011)

Variants of guided self-organization for robot control. - Georg Martius; J. Michael Herrmann (Theory Biosci., 2012)

The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots. - Ralf Der; Georg Martius (Springer, 2012)

Behavior as broken symmetry in embodied self-organizing robots. - Ralf Der; Georg Martius (ECAL, 2013)

Robustness of Guided Self-Organization against Sensorimotor disruptions. - Georg Martius (Adv. Complex Syst., 2013)

Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis. - Keyan Zahedi; Georg Martius; Nihat Ay (CoRR, 2013)

Information driven self-organization of complex robotic behaviors - Georg Martius; Ralf Der; Nihat Ay (CoRR, 2013)

Self-exploration of the Stumpy Robot with Predictive Information Maximization. - Georg Martius; Luisa Jahn; Helmut Hauser; Verena V. Hafner (SAB, 2014)

Quantifying Self-Organizing Behavior of Autonomous Robots. - Georg Martius; Eckehard Olbrich (ECAL, 2015)

Quantifying Emergent Behavior of Autonomous Robots. - Georg Martius; Eckehard Olbrich (Entropy, 2015)

Novel plasticity rule can explain the development of sensorimotor intelligence. - Ralf Der; Georg Martius (Proc. Natl. Acad. Sci. USA, 2015)

Self-organized control of an tendon driven arm by differential extrinsic plasticity. - Ralf Der; Alois C. Knoll; Rafael Hostettler; Georg Martius (ALIFE, 2016)

Dynamical self-consistency leads to behavioral development and emergent social interactions in robots. - Ralf Der; Georg Martius (ICDL-EPIROB, 2016)

Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. - Georg Martius; Rafael Hostettler; Alois C. Knoll; Ralf Der (IROS, 2016)

The world as its own best controller: a case study with anthropomimetic robots. - Ralf Der; Georg Martius (CoRR, 2016)

Extrapolation and learning equations. - Georg Martius; Christoph H. Lampert (ICLR (Workshop), 2017)

Self-Organized Behavior Generation for Musculoskeletal Robots. - Ralf Der; Georg Martius (Frontiers Neurorobotics, 2017)

Deep Reinforcement Learning for Event-Triggered Control. - Dominik Baumann; Sebastian Trimpe; Jia-Jie Zhu; Georg Martius (CDC, 2018)

Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns. - Huanbo Sun; Georg Martius (Humanoids, 2018)

Learning Equations for Extrapolation and Control. - Subham S. Sahoo; Christoph H. Lampert; Georg Martius (ICML, 2018)

Systematic self-exploration of behaviors for robots in a dynamical systems framework. - Cristina Pinneri; Georg Martius (ALIFE, 2018)

L4: Practical loss-based stepsize adaptation for deep learning. - Michal Rolínek; Georg Martius (NeurIPS, 2018)

Nonlinear decoding of a complex movie from the mammalian retina. - Vicente Botella-Soler; Stéphane Deny; Georg Martius; Olivier Marre; Gasper Tkacik (PLoS Comput. Biol., 2018)

Variational Autoencoders Pursue PCA Directions (by Accident). - Michal Rolínek; Dominik Zietlow; Georg Martius (CVPR, 2019)

Falsification of hybrid systems using symbolic reachability and trajectory splicing. - Sergiy Bogomolov; Goran Frehse; Amit Gurung; Dongxu Li; Georg Martius; Rajarshi Ray 001 (HSCC, 2019)

Control What You Can: Intrinsically Motivated Task-Planning Agent. - Sebastian Blaes; Marin Vlastelica Pogancic; Jia-Jie Zhu; Georg Martius (NeurIPS, 2019)

Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. - Sina Khajehabdollahi; Georg Martius; Anna Levina (SSCI, 2019)

Analytical classical density functionals from an equation learning network. - Shang-Chun Lin; Georg Martius; Martin Oettel (CoRR, 2019)

Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control. - Jia-Jie Zhu; Georg Martius (CoRR, 2019)

Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration. - Huanbo Sun; Georg Martius (Frontiers Neurorobotics, 2019)

Sample-efficient Cross-Entropy Method for Real-time Planning. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Jan Achterhold; Joerg Stueckler; Michal Rolínek; Georg Martius (CoRL, 2020)

Optimizing Rank-Based Metrics With Blackbox Differentiation. - Michal Rolínek; Vít Musil; Anselm Paulus; Marin Vlastelica P.; Claudio Michaelis; Georg Martius (CVPR, 2020)

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. - Michal Rolínek; Paul Swoboda; Dominik Zietlow; Anselm Paulus; Vít Musil; Georg Martius (ECCV (28), 2020)

Differentiation of Blackbox Combinatorial Solvers. - Marin Vlastelica Pogancic; Anselm Paulus; Vít Musil; Georg Martius; Michal Rolínek (ICLR, 2020)

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. - Diego Agudelo-España; Andrii Zadaianchuk; Philippe Wenk; Aditya Garg; Joel Akpo; Felix Grimminger; Julian Viereck; Maximilien Naveau; Ludovic Righetti; Georg Martius; Andreas Krause 001; Bernhard Schölkopf; et al. (ICRA, 2020)

Risk-Averse Zero-Order Trajectory Optimization. - Marin Vlastelica P.; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRL, 2021)

Self-supervised Reinforcement Learning with Independently Controllable Subgoals. - Andrii Zadaianchuk; Georg Martius; Fanny Yang (CoRL, 2021)

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Georg Martius (ICLR, 2021)

Self-supervised Visual Reinforcement Learning with Object-centric Representations. - Andrii Zadaianchuk; Maximilian Seitzer; Georg Martius (ICLR, 2021)

Neuro-algorithmic Policies Enable Fast Combinatorial Generalization. - Marin Vlastelica P.; Michal Rolínek; Georg Martius (ICML, 2021)

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. - Anselm Paulus; Michal Rolínek; Vít Musil; Brandon Amos; Georg Martius (ICML, 2021)

Demystifying Inductive Biases for (Beta-)VAE Based Architectures. - Dominik Zietlow; Michal Rolínek; Georg Martius (ICML, 2021)

The dynamical regime and its importance for evolvability, task performance and generalization. - Jan Prosi; Sina Khajehabdollahi; Emmanouil Giannakakis; Georg Martius; Anna Levina (ALIFE, 2021)

Planning from Pixels in Environments with Combinatorially Hard Search Spaces. - Marco Bagatella; Miroslav Olsák; Michal Rolínek; Georg Martius (NeurIPS, 2021)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. - Christian Gumbsch; Martin V. Butz; Georg Martius (NeurIPS, 2021)

Hierarchical Reinforcement Learning with Timed Subgoals. - Nico Gürtler; Dieter Büchler; Georg Martius (NeurIPS, 2021)

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. - Nico Gürtler; Felix Widmaier; Cansu Sancaktar; Sebastian Blaes; Pavel Kolev; Stefan Bauer; Manuel Wüthrich; Markus Wulfmeier; Martin A. Riedmiller; Arthur Allshire; Qiang Wang; Robert McCarthy; et al. (NeurIPS (Competition and Demos), 2021)

Causal Influence Detection for Improving Efficiency in Reinforcement Learning. - Maximilian Seitzer; Bernhard Schölkopf; Georg Martius (NeurIPS, 2021)

How to train your differentiable filter. - Alina Kloss; Georg Martius; Jeannette Bohg (Auton. Robots, 2021)

Demystifying Inductive Biases for β-VAE Based Architectures. - Dominik Zietlow; Michal Rolínek; Georg Martius (CoRR, 2021)

Informed Equation Learning. - Matthias Werner; Andrej Junginger; Philipp Hennig; Georg Martius (CoRR, 2021)

Theory of Geometric Super-resolution for Haptic Sensor Design. - Huanbo Sun; Georg Martius (CoRR, 2021)

Editorial: Complexity and Self-Organization. - Carlos Gershenson; Daniel Polani; Georg Martius (Frontiers Robotics AI, 2021)

A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks. - Christian Landgraf; Bernd Meese; Michael Pabst; Georg Martius; Marco F. Huber (Sensors, 2021)

Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives. - Christian Gumbsch; Martin V. Butz; Georg Martius (IEEE Trans. Cogn. Dev. Syst., 2021)

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations. - Chenhao Li; Marin Vlastelica; Sebastian Blaes; Jonas Frey; Felix Grimminger; Georg Martius (CoRL, 2022)

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. - Isabell Wochner; Pierre Schumacher; Georg Martius; Dieter Büchler; Syn Schmitt; Daniel F. B. Haeufle (CoRL, 2022)

Uncertainty in equation learning. - Matthias Werner; Andrej Junginger; Philipp Hennig; Georg Martius (GECCO Companion, 2022)

Developing hierarchical anticipations via neural network-based event segmentation. - Christian Gumbsch; Maurits Adam; Birgit Elsner; Georg Martius; Martin V. Butz (ICDL, 2022)

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. - Maximilian Seitzer; Arash Tavakoli; Dimitrije Antic; Georg Martius (ICLR, 2022)

Embrace the Gap: VAEs Perform Independent Mechanism Analysis. - Patrik Reizinger; Luigi Gresele; Jack Brady; Julius von Kügelgen; Dominik Zietlow; Bernhard Schölkopf; Georg Martius; Wieland Brendel; Michel Besserve (NeurIPS, 2022)

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation. - Cansu Sancaktar; Sebastian Blaes; Georg Martius (NeurIPS, 2022)

When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. - Sina Khajehabdollahi; Jan Prosi; Emmanouil Giannakakis; Georg Martius; Anna Levina (Artif. Life, 2022)

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Marin Vlastelica; Anselm Paulus; Vít Musil; Volodymyr Kuleshov; Georg Martius (CoRR, 2022)

A soft thumb-sized vision-based sensor with accurate all-round force perception. - Huanbo Sun; Katherine J. Kuchenbecker; Georg Martius (Nat. Mach. Intell., 2022)

Guiding the design of superresolution tactile skins with taxel value isolines theory. - Huanbo Sun; Georg Martius (Sci. Robotics, 2022)

ima-vae. - Patrik Reizinger; Luigi Gresele; Jack Brady; Dominik Zietlow; Julius von Kügelgen; Michel Besserve; Georg Martius; Wieland Brendel; Bernhard Schölkopf (Zenodo, 2022)

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning. - Onno Eberhard; Jakob J. Hollenstein; Cristina Pinneri; Georg Martius (ICLR, 2023)

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. - Nico Gürtler; Sebastian Blaes; Pavel Kolev; Felix Widmaier; Manuel Wuthrich; Stefan Bauer; Bernhard Schölkopf; Georg Martius (ICLR, 2023)

Backpropagation through Combinatorial Algorithms: Identity with Projection Works. - Subham Sekhar Sahoo; Anselm Paulus; Marin Vlastelica; Vít Musil; Volodymyr Kuleshov; Georg Martius (ICLR, 2023)

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. - Pierre Schumacher; Daniel F. B. Haeufle; Dieter Büchler; Syn Schmitt; Georg Martius (ICLR, 2023)

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions. - Chenhao Li; Sebastian Blaes; Pavel Kolev; Marin Vlastelica; Jonas Frey; Georg Martius (ICRA, 2023)

Efficient Learning of High Level Plans from Play. - Núria Armengol Urpí; Marco Bagatella; Otmar Hilliges; Georg Martius; Stelian Coros (ICRA, 2023)

Goal-conditioned Offline Planning from Curious Exploration. - Marco Bagatella; Georg Martius (NeurIPS, 2023)

Online Learning under Adversarial Nonlinear Constraints. - Pavel Kolev; Georg Martius; Michael Muehlebach (NeurIPS, 2023)

Regularity as Intrinsic Reward for Free Play. - Cansu Sancaktar; Justus H. Piater; Georg Martius (NeurIPS, 2023)

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. - Andrii Zadaianchuk; Maximilian Seitzer; Georg Martius (NeurIPS, 2023)

When to be critical? Performance and evolvability in different regimes of neural Ising agents. - Sina Khajehabdollahi; Jan Prosi; Georg Martius; Anna Levina (CoRR, 2023)

Inductive biases in deep learning models for weather prediction. - Jannik Thümmel; Matthias Karlbauer; Sebastian Otte; Christiane Zarfl; Georg Martius; Nicole Ludwig 002; Thomas Scholten; Ulrich Friedrich; Volker Wulfmeyer; Bedartha Goswami; Martin V. Butz (CoRR, 2023)

Discovering Causal Relations and Equations from Data. - Gustau Camps-Valls; Andreas Gerhardus; Urmi Ninad; Gherardo Varando; Georg Martius; Emili Balaguer-Ballester; Ricardo Vinuesa; Emiliano Diaz; Laure Zanna; Jakob Runge (CoRR, 2023)

Locally adaptive cellular automata for goal-oriented self-organization. - Sina Khajehabdollahi; Emmanouil Giannakakis; Victor Buendia; Georg Martius; Anna Levina (CoRR, 2023)

The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (CoRR, 2023)

Diverse Offline Imitation via Fenchel Duality. - Marin Vlastelica; Pavel Kolev; Jin Cheng 002; Georg Martius (CoRR, 2023)

Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. - Pierre Schumacher; Thomas Geijtenbeek; Vittorio Caggiano; Vikash Kumar; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (CoRR, 2023)

Mind the Uncertainty: Risk-Aware and Actively Exploring Model-Based Reinforcement Learning. - Marin Vlastelica; Sebastian Blaes; Cristina Pinneri; Georg Martius (CoRR, 2023)

Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks. - Hyosang Lee; Huanbo Sun; Hyunkyu Park 001; Gokhan Serhat; Bernard Javot; Georg Martius; Katherine J. Kuchenbecker (IEEE Trans Autom. Sci. Eng., 2023)

Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation. - Iris Andrussow; Huanbo Sun; Katherine J. Kuchenbecker; Georg Martius (Adv. Intell. Syst., 2023)

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. - Jakob J. Hollenstein; Georg Martius; Justus H. Piater (AAAI, 2024)

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. - Jhon Charaja; Isabell Wochner; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (BioRob, 2024)

Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware. - Pierre Schumacher; Lorenz Krause; Jan Schneider 007; Dieter Büchler; Georg Martius; Daniel F. B. Haeufle (BioRob, 2024)

PaSTS An Operational Dataset for Domestic Solar Thermal Systems. - Florian Ebmeier; Nicole Ludwig 002; Georg Martius; Volker H. Franz (e-Energy, 2024)

Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics. - Christian Gumbsch; Noor Sajid; Georg Martius; Martin V. Butz (ICLR, 2024)

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. - Sina Khajehabdollahi; Roxana Zeraati; Emmanouil Giannakakis; Tim Jakob Schäfer; Georg Martius; Anna Levina (ICLR, 2024)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (ICLR, 2024)

Multi-View Causal Representation Learning with Partial Observability. - Dingling Yao; Danru Xu; Sébastien Lachapelle; Sara Magliacane; Perouz Taslakian; Georg Martius; Julius von Kügelgen; Francesco Locatello (ICLR, 2024)

Learning with 3D rotations, a hitchhiker's guide to SO(3). - Andreas René Geist; Jonas Frey; Mikel Zhobro; Anna Levina; Georg Martius (ICML, 2024)

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers. - Anselm Paulus; Georg Martius; Vít Musil (ICML, 2024)

Modelling Microbial Communities with Graph Neural Networks. - Albane Ruaud; Cansu Sancaktar; Marco Bagatella; Christoph Ratzke; Georg Martius (ICML, 2024)

Causal Action Influence Aware Counterfactual Data Augmentation. - Núria Armengol Urpí; Marco Bagatella; Marin Vlastelica; Georg Martius (ICML, 2024)

Learning Diverse Skills for Local Navigation under Multi-constraint Optimality. - Jin Cheng 002; Marin Vlastelica; Pavel Kolev; Chenhao Li; Georg Martius (ICRA, 2024)

Offline Diversity Maximization under Imitation Constraints. - Marin Vlastelica; Jin Cheng 002; Georg Martius; Pavel Kolev (RLJ, 2024)

Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology. - Pierre Schumacher; Lorenz Krause; Jan Schneider 007; Dieter Büchler; Georg Martius; Daniel F. B. Haeufle (CoRR, 2024)

Learning with 3D rotations, a hitchhiker's guide to SO(3). - Andreas René Geist; Jonas Frey; Mikel Zobro; Anna Levina; Georg Martius (CoRR, 2024)

Zero-Shot Object-Centric Representation Learning. - Aniket Didolkar; Andrii Zadaianchuk; Anirudh Goyal; Michael C. Mozer; Yoshua Bengio; Georg Martius; Maximilian Seitzer (CoRR, 2024)

Active Fine-Tuning of Generalist Policies. - Marco Bagatella; Jonas Hübotter; Georg Martius; Andreas Krause 001 (CoRR, 2024)

Zero-Shot Offline Imitation Learning via Optimal Transport. - Thomas Rupf; Marco Bagatella; Nico Gürtler; Jonas Frey; Georg Martius (CoRR, 2024)

Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium. - Francesco Carnazza; Federico Carollo; Sabine Andergassen; Georg Martius; Miriam Klopotek; Igor Lesanovsky (Mach. Learn. Sci. Technol., 2024)

Identifying Terrain Physical Parameters From Vision - Towards Physical-Parameter-Aware Locomotion and Navigation. - Jiaqi Chen; Jonas Frey; Ruyi Zhou; Takahiro Miki; Georg Martius; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2024)

Temporally Consistent Object-Centric Learning by Contrasting Slots. - Anna Manasyan; Maximilian Seitzer; Filip Radovic; Georg Martius; Andrii Zadaianchuk (CVPR, 2025)

Advancing Out-of-Distribution Detection via Local Neuroplasticity. - Alessandro Canevaro; Julian Schmidt; Mohammad Sajad Marvi; Hang Yu; Georg Martius; Julian Jordan (ICLR, 2025)

On the Transfer of Object-Centric Representation Learning. - Aniket Rajiv Didolkar; Andrii Zadaianchuk; Anirudh Goyal; Michael Curtis Mozer; Yoshua Bengio; Georg Martius; Maximilian Seitzer (ICLR, 2025)

Directed Exploration in Reinforcement Learning from Linear Temporal Logic. - Marco Bagatella; Andreas Krause 001; Georg Martius (Trans. Mach. Learn. Res., 2025)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints. - Pavel Kolev; Marin Vlastelica; Georg Martius (CoRR, 2025)

The Role of Tactile Sensing for Learning Reach and Grasp. - Boya Zhang; Iris Andrussow; Andreas Zell; Georg Martius (CoRR, 2025)

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models. - Cansu Sancaktar; Christian Gumbsch; Andrii Zadaianchuk; Pavel Kolev; Georg Martius (CoRR, 2025)

A Smooth Analytical Formulation of Collision Detection and Rigid Body Dynamics With Contact. - Onur Beker; Nico Gürtler; Ji Shi; Andreas Rene Geist; Amirreza Razmjoo; Georg Martius; Sylvain Calinon (CoRR, 2025)

Learning 3D-Gaussian Simulators from RGB Videos. - Mikel Zhobro; Andreas René Geist; Georg Martius (CoRR, 2025)

Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control. - Anselm Paulus; Andreas René Geist; Pierre Schumacher; Vít Musil; Georg Martius (CoRR, 2025)

Epistemically-guided forward-backward exploration. - Núria Armengol Urpí; Marin Vlastelica; Georg Martius; Stelian Coros (CoRR, 2025)

Test-time Offline Reinforcement Learning on Goal-related Experience. - Marco Bagatella; Mert Albaba; Jonas Hübotter; Georg Martius; Andreas Krause 001 (CoRR, 2025)

Wild visual navigation: fast traversability learning via pre-trained models and online self-supervision. - Matías Mattamala; Jonas Frey; Piotr Libera; Nived Chebrolu; Georg Martius; Cesar Cadena 001; Marco Hutter 001; Maurice F. Fallon (Auton. Robots, 2025)