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Johannes Pitz
Observed name:
Pitz, Johannes
Institution:
Technical University of Munich
Observed institutions:
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR),
Technical University of Munich,
Deggendorf Institute of Technology
ORCID:
0000-0002-2629-1892
Observed ORCID:
0000-0002-2629-1892
OpenAlex ID:
A5075436631
Learning Purely Tactile In-Hand Manipulation with a Torque-Controlled Hand
2022
·
Leon Sievers
, Johannes Pitz
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
46
PDF
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
2023
·
Johannes Pitz
, Lennart Röstel
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
38
PDF
Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation
2023
·
Lennart Röstel
, Johannes Pitz
, et al.
·
IEEE-RAS International Conference on Humanoid Robots (Humanoids)
·
15
PDF
Learning a State Estimator for Tactile In-Hand Manipulation
2022
·
Lennart Röstel
, Leon Sievers
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
12
Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
2024
·
Johannes Pitz
, Lennart Röstel
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
9
PDF
Composing Dextrous Grasping and In-Hand Manipulation via Scoring with a Reinforcement Learning Critic
2025
·
Lennart Röstel
, Dominik Winkelbauer
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
4
PDF
Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation
2024
·
Johannes Pitz
, Lennart Röstel
, et al.
·
IEEE-RAS International Conference on Humanoid Robots (Humanoids)
·
3
PDF
Adaptive Rollout Truncation Based on Epistemic Uncertainty for Efficient Offline World Model Training
2026
·
Zymla, Nikodem Sebastian
, Thiele, Laurin
, et al.
·
arXiv (Cornell University)
PDF
Improved Exploration with Stochastic Policies in Deep Reinforcement Learning
2020
·
Johannes Pitz
·
elib (German Aerospace Center)
PDF
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Works count:
10
Citation count:
127
H-index:
5
I10-index:
4
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