Keywords:
- Contact-Rich Manipula- tion
- Generative Adversarial Networks
- Imitation Learning
- Inverse Kinematics
- learning from demonstration
- Machine Learning for Robot Control
- model predictive control
- Motion and Path Planning
- motion planning
- robot learning
- robot programming
- Robust Control
- Robust/Adaptive Control
- Stochastic Dynamics
- stochastic optimization
- Trajectory optimization
- Underactuated Systems
- Whole-Body Motion Planning and Control
Publications of Julius Jankowski
2025
| Intuitive Robot Programming, , , , and , in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025 |
2024
| A Stochastic Approach to Contact-rich Manipulation, , Ecole Polytechnique Fédérale de Lausanne, 2024 |
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2023
| A Multitask and Kernel approach for Learning to Push Objects with a Task-Parameterized Deep Q-Network, , , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2023 |
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| Reactive Anticipatory Robot Skills with Memory, , and , in: Robotic Research, pages 436-451, Springer, 2023 |
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| VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior, , , and , Idiap-RR-04-2023 |
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| VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior, , , and , in: Proc. IEEE International Conference on Robotics and Automation (ICRA), 2023 |
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2022
| From Key Positions to Optimal Basis Functions for Probabilistic Adaptive Control, , and , in: IEEE Robotics and Automation Letters, 2022 |
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| Reactive Anticipatory Robot Skills with Memory, , and , in: The International Symposium on Robotics Research, 2022 |
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2021
| Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network, , , and , in: IEEE Robotics and Automation Letters, 2021 |
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| Probabilistic Adaptive Control for Robust Behavior Imitation, , and , in: IEEE Robotics and Automation Letters, 2021 |
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