Recent group publications
- M Maximilian, S Seefeldt, J seyler, S Eivazi. (2025) Synthesizing Depowdering Trajectories for Robot Arms using Deep Reinforcement Learning.International Conference on Robotics and Automation (ICRA).
- C Chang, C Li, J seyler, S Eivazi (2025). Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo. International Conference on Agents and Artificial Intelligence (ICAART).
- C Li et. al. (2025) MIRSim-RL: A Simulated Mobile Industry Robot Platform and Benchmarks for Reinforcement Learning. International Conference on Agents and Artificial Intelligence (ICAART).
- R Deibel, S Eivazi, MV Butz, S Otte (2024). Resonator-Gated RNNs. International Conference on Artificial Neural Networks (ICANN).
- F Pfeiffer, S Eivazi (2024) Simultaneous Training of First-and Second-Order Optimizers in Population-Based Reinforcement Learning.arXiv preprint arXiv:2408.15421
- J Peter, F Schreier & S Eivazi (2023). Real-to-sim Robotic Scene Generator. Proceedings of 56th International Symposium on Robotics (ISR Europe 2023).
- A Kernbach, K Hoffmann, O Sawdney & S Eivazi (2023) Benchmark on deep reinforcement learning-based placing using a robot arm. Proceedings of 56th International Symposium on Robotics (ISR Europe 2023).
- C Li, Y Liu, Z Bing, J Seyler & S Eivazi (2023). Novel Methods Inspired by Reinforcement Learning Actor-Critic Mechanism for Eye-in-Hand Calibration in Robotics. Proceedings of the 2023 IEEE International Conference on Development and Learning (ICDL 2023).
- Li, C., Wu, Y., Liu, Y., Schreier, F., Bing, Z., Knoll, A., & Eivazi, S. (2023, February). Human Robot Interaction with Triboelectric Nanogenerator for Tactile Sensing. In 2023 9th International Conference on Mechatronics and Robotics Engineering (ICMRE) (pp. 30-34). IEEE.
- Wei, S.; Li, C.; Seyler, J. and Eivazi, S. (2023). Integration of Efficient Deep Q-Network Techniques Into QTOpt Reinforcement Learning Structure. 15th International Conference on Agents and Artificial Intelligence.
- Li, C.; Liu, Y.; Bing, Z.; Schreier, F.; Seyler, J. and Eivazi, S. (2023). Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience. 15th International Conference on Agents and Artificial Intelligence.
- M Hoyer., S Eivazi,, & S. Otte,. (2022). Efficient LSTM Training with Eligibility Traces. 31st International Conference on Artificial Neural NetworksProceedings, Part III (pp. 334-346).
- C Li, Y Liu, Z Bing, J Seyler & S Eivazi (2022). A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay. RiTA 2021: Robot Intelligence Technology and Applications 6 pp 462–473.
- Fuhl, W., Weber, D., & Eivazi, S. (2022). Groupgazer: A tool to compute the gaze per participant in groups with integrated calibration to map the gaze online to a screen or beamer projection.
- Fuhl, W., Weber, D., & Eivazi, S. (2022). Pistol: Pupil invisible supportive tool to extract pupil, iris, eye opening, eye movements, pupil and iris gaze vector, and 2d as well as 3d gaze.