Maximilian Karl

34 papers A* 5A 1C 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LIMT: Language-Informed Multi-Task Visual World Models. ICRA Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2025	J	`jnl`	Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models. Trans. Mach. Learn. Res. Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	A*	`conf`	Accurate Kinematic Modeling using Autoencoders on Differentiable Joints. ICRA Nikolas J. Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl
2024	J	`jnl`	Adapting Deep Variational Bayes Filter for Enhanced Confidence Estimation in Finite Element Method Integrated Networks (FEMIN). CoRR Simon Thel, Lars Greve, Maximilian Karl, Patrick van der Smagt
2024	A*	`conf`	Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning. NeurIPS Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	J	`jnl`	Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning. CoRR Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	A*	`conf`	Design and Implementation of a Robotic Testbench for Analyzing Pincer Grip Execution in Human Specimen Hands. ICRA Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Julian Schote, Hannes Höppner, Patrick van der Smagt, Maximilian Karl, Rainer Burgkart
2024	J	`jnl`	LIMT: Language-Informed Multi-Task Visual World Models. CoRR Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2024	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics Autom. Lett. Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2024	J	`jnl`	Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models. CoRR Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2023	—	`conf`	A Strategy for Structuring Teams Collaboration in University Course Projects. ICSBT Chukwuka Victor Obionwu, Maximilian Karl, David Broneske, Anja Hawlitschek, Paul Blockhaus, Gunter Saake
2023	A*	`conf`	Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. NeurIPS Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2023	J	`jnl`	Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. CoRR Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2023	—	`conf`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2023	J	`jnl`	Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers Robotics AI Nutan Chen, Walterio W. Mayol-Cuevas, Maximilian Karl, Elie Aljalbout, Andy Zeng, Aurelio Cortese, Wolfram Burgard, Herke van Hoof
2023	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. CoRR Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2022	—	`conf`	Automated feedback on teamwork in programming courses. DELFI Maximilian Karl, Raphael Zender
2022	J	`jnl`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. CoRR Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2020	J	`jnl`	Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
2020	J	`jnl`	Temperature-Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass Transition. Sensors Maximilian Karl, Lasse H. E. Thamdrup, Jukka Rantanen, Anja Boisen, Thomas Rades
2020	—	`—`	Unsupervised Control: Efficient Inference for Time Series Modelling and Intrinsic Motivation. Maximilian Karl
2019	J	`jnl`	Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. CoRR Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
2019	C	`conf`	Unsupervised Real-Time Control Through Variational Empowerment. ISRR Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
2017	—	`conf`	Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. ICLR (Poster) Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
2016	J	`jnl`	Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. CoRR Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
2016	—	`conf`	Dynamic movement primitives in latent space of time-dependent variational autoencoders. Humanoids Nutan Chen, Maximilian Karl, Patrick van der Smagt
2016	J	`jnl`	ML-based tactile sensor calibration: A universal approach. CoRR Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
2016	A	`conf`	Stable reinforcement learning with autoencoders for tactile and visual data. IROS Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
2016	J	`jnl`	Unsupervised preprocessing for Tactile Data. CoRR Maximilian Karl, Justin Bayer, Patrick van der Smagt
2015	J	`jnl`	Efficient Empowerment. CoRR Maximilian Karl, Justin Bayer, Patrick van der Smagt
2015	J	`jnl`	Fast Adaptive Weight Noise. CoRR Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt
2014	—	`conf`	Continuum worm-like robotic mechanism with decentral control architecture. CASE Martin Eder, Maximilian Karl, Alois C. Knoll, Stefan Riesner
2014	J	`jnl`	Improving approximate RPCA with a k-sparsity prior. CoRR Maximilian Karl, Christian Osendorfer
2013	—	`conf`	Design of an inherently safe worm-like robot. SSRR Martin Eder, Maximilian Karl, Felix Schultheiss, Johannes Schürmann, Alois C. Knoll, Stefan Riesner