| A survey of behavior trees in robotics and ai M Iovino, E Scukins, J Styrud, P Ögren, C Smith Robotics and Autonomous Systems 154, 104096, 2022 | 205 | 2022 |
| Competitive sorption of metal ions on titanium phosphate sorbent (TiP1) in fixed-bed columns: a closed-mine waters study M Trublet, E Scukins, I Carabante, D Rusanova ACS sustainable chemistry & engineering 7 (9), 8145-8154, 2019 | 15 | 2019 |
| Using reinforcement learning to create control barrier functions for explicit risk mitigation in adversarial environments E Scukins, P Ögren 2021 IEEE International Conference on Robotics and Automation (ICRA), 10734 …, 2021 | 9 | 2021 |
| Enhancing situation awareness in beyond visual range air combat with reinforcement learning-based decision support E Scukins, M Klein, P Ögren 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 56-62, 2023 | 3 | 2023 |
| A model predictive approach to satellite formation control E Scukins | 3 | 2016 |
| Monte carlo tree search and convex optimization for decision support in beyond-visual-range air combat E Scukins, M Klein, L Kroon, P Ögren 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 48-55, 2023 | 2 | 2023 |
| BVR Gym: A Reinforcement Learning Environment for Beyond-Visual-Range Air Combat E Scukins, M Klein, L Kroon, P Ögren arXiv preprint arXiv:2403.17533, 2024 | | 2024 |
| Deep Learning Based Situation Awareness for Multiple Missiles Evasion E Scukins, M Klein, L Kroon, P Ögren arXiv preprint arXiv:2402.10101, 2024 | | 2024 |
| Classical Formation Patterns and Flanking Strategies as a Result of Utility Maximization E Scukins, P Ögren IEEE control systems letters 3 (2), 422-427, 2019 | | 2019 |
