Maximilian Karl

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Reinforcement Learning

Preprocessing Steps

Top Venues

IEEE Robotics Autom. Lett.

Publications

Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics Autom. Lett. 9 (6) (2024)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models. CoRR (2024)
Nikolas J. Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl
Accurate Kinematic Modeling using Autoencoders on Differentiable Joints. ICRA (2024)
Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Julian Schote, Hannes Höppner, Patrick van der Smagt, Maximilian Karl, Rainer Burgkart
Design and Implementation of a Robotic Testbench for Analyzing Pincer Grip Execution in Human Specimen Hands. ICRA (2024)
Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
LIMT: Language-Informed Multi-Task Visual World Models. CoRR (2024)
Chukwuka Victor Obionwu, Maximilian Karl, David Broneske, Anja Hawlitschek, Paul Blockhaus, Gunter Saake
A Strategy for Structuring Teams Collaboration in University Course Projects. ICSBT (2023)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. NeurIPS (2023)
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC (2023)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. CoRR (2023)
Nutan Chen, Walterio W. Mayol-Cuevas, Maximilian Karl, Elie Aljalbout, Andy Zeng, Aurelio Cortese, Wolfram Burgard, Herke van Hoof
Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers Robotics AI 10 (2023)
Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. CoRR (2023)
Maximilian Karl, Raphael Zender
Automated feedback on teamwork in programming courses. DELFI (2022)
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. CoRR (2022)
Maximilian Karl, Lasse H. E. Thamdrup, Jukka Rantanen, Anja Boisen, Thomas Rades
Temperature-Modulated Micromechanical Thermal Analysis with Microstring Resonators Detects Multiple Coherent Features of Small Molecule Glass Transition. Sensors 20 (4) (2020)
Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR (2020)
Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. CoRR (2019)
Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
Unsupervised Real-Time Control Through Variational Empowerment. ISRR (2019)
Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. ICLR (Poster) (2017)
Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
ML-based tactile sensor calibration: A universal approach. CoRR (2016)
Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
Stable reinforcement learning with autoencoders for tactile and visual data. IROS (2016)
Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. CoRR (2016)
Nutan Chen, Maximilian Karl, Patrick van der Smagt
Dynamic movement primitives in latent space of time-dependent variational autoencoders. Humanoids (2016)
Maximilian Karl, Justin Bayer, Patrick van der Smagt
Unsupervised preprocessing for Tactile Data. CoRR (2016)
Maximilian Karl, Justin Bayer, Patrick van der Smagt
Efficient Empowerment. CoRR (2015)
Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt
Fast Adaptive Weight Noise. CoRR (2015)
Maximilian Karl, Christian Osendorfer
Improving approximate RPCA with a k-sparsity prior. CoRR (2014)
Martin Eder, Maximilian Karl, Alois C. Knoll, Stefan Riesner
Continuum worm-like robotic mechanism with decentral control architecture. CASE (2014)
Martin Eder, Maximilian Karl, Felix Schultheiss, Johannes Schürmann, Alois C. Knoll, Stefan Riesner
Design of an inherently safe worm-like robot. SSRR (2013)