Julius Jankowski

According to our database, Julius Jankowski authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Diffusion-based Inverse Model of a Distributed Tactile Sensor for Object Pose Estimation.

Ante Maric, Giammarco Caroleo, Alessandro Albini, Julius Jankowski, Perla Maiolino, Sylvain Calinon

CoRR, January, 2026

2025

Diffusion-based Inverse Observation Model for Artificial Skin.

Ante Maric, Julius Jankowski, Giammarco Caroleo, Alessandro Albini, Perla Maiolino, Sylvain Calinon

CoRR, June, 2025

Robust pushing: Exploiting quasi-static belief dynamics and contact-informed optimization.

Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon

Int. J. Robotics Res., 2025

2024

Energy-based Contact Planning under Uncertainty for Robot Air Hockey.

Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon

CoRR, 2024

Planning for Robust Open-loop Pushing: Exploiting Quasi-static Belief Dynamics and Contact-informed Optimization.

Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon

CoRR, 2024

CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning.

Lara Brudermüller, Guillaume Berger, Julius Jankowski, Raunak Bhattacharyya, Nick Hawes

CoRR, 2024

AiRLIHockey: Highly Reactive Contact Control and Stochastic Optimal Shooting.

Julius Jankowski, Ante Maric, Sylvain Calinon

CoRR, 2024

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics.

Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Maric, Sylvain Calinon, Andrej Orsula, Miguel S. Olivares-Méndez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan R. Peters

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network.

Marco Ewerton, Michael Villamizar, Julius Jankowski, Sylvain Calinon, Jean-Marc Odobez

IROS, 2023

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior.

Julius Jankowski, Lara Brudermüller, Nick Hawes, Sylvain Calinon

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

From Key Positions to Optimal Basis Functions for Probabilistic Adaptive Control.

Julius Jankowski, Mattia Racca, Sylvain Calinon

IEEE Robotics Autom. Lett., 2022

Reactive Anticipatory Robot Skills with Memory.

Hakan Girgin, Julius Jankowski, Sylvain Calinon

Proceedings of the Robotics Research, 2022

2021

Learning Constrained Distributions of Robot Configurations With Generative Adversarial Network.

Teguh Santoso Lembono, Emmanuel Pignat, Julius Jankowski, Sylvain Calinon

IEEE Robotics Autom. Lett., 2021

Probabilistic Adaptive Control for Robust Behavior Imitation.

Julius Jankowski, Hakan Girgin, Sylvain Calinon

IEEE Robotics Autom. Lett., 2021

2020

Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning.

Teguh Santoso Lembono, Emmanuel Pignat, Julius Jankowski, Sylvain Calinon

CoRR, 2020

Hierarchical Motion Planning Framework for Manipulators in Human-Centered Dynamic Environments.

Jonas Wittmann, Julius Jankowski, Daniel Wahrmann, Daniel J. Rixen

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

2019

Sliding Mode Momentum Observers for Estimation of External Torques and Joint Acceleration.

Gianluca Garofalo, Nico Mansfeld, Julius Jankowski, Christian Ott

Proceedings of the International Conference on Robotics and Automation, 2019