| Safe learning for control using control lyapunov functions and control barrier functions: A review A Anand, K Seel, V Gjærum, A Håkansson, H Robinson, A Saad Procedia Computer Science 192, 3987-3997, 2021 | 21 | 2021 |
| A deep reinforcement learning based approach towards generating human walking behavior with a neuromuscular model AS Anand, G Zhao, H Roth, A Seyfarth 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 19 | 2019 |
| Evaluation of variable impedance-and hybrid force/motioncontrollers for learning force tracking skills AS Anand, MH Myrestrand, JT Gravdahl 2022 IEEE/SICE International Symposium on System Integration (SII), 83-89, 2022 | 8 | 2022 |
| Robust reasoning for autonomous cyber-physical systems in dynamic environments A Håkansson, A Saad, A Anand, V Gjærum, H Robinson, K Seel Procedia Computer Science 192, 3966-3978, 2021 | 7 | 2021 |
| Learning-based MPC from big data using reinforcement learning S Sawant, AS Anand, D Reinhardt, S Gros arXiv preprint arXiv:2301.01667, 2023 | 5 | 2023 |
| Model-based variable impedance learning control for robotic manipulation AS Anand, JT Gravdahl, FJ Abu-Dakka Robotics and Autonomous Systems 170, 104531, 2023 | 4 | 2023 |
| Real-time temporal adaptation of dynamic movement primitives for moving targets AS Anand, A Østvik, EI Grøtli, M Vagia, JT Gravdahl 2021 20th International Conference on Advanced Robotics (ICAR), 261-268, 2021 | 4 | 2021 |
| Reinforcement Learning for MPC: Fundamentals and Current Challenges AB Kordabad, D Reinhardt, AS Anand, S Gros IFAC-PapersOnLine 56 (2), 5773-5780, 2023 | 2 | 2023 |
| Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning AS Anand, JE Kveen, F Abu-Dakka, EI Grøtli, JT Gravdahl 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 2 | 2022 |
| A Painless Deterministic Policy Gradient Method for Learning-based MPC AS Anand, D Reinhardt, S Sawant, JT Gravdahl, S Gros 2023 European Control Conference (ECC), 1-7, 2023 | 1 | 2023 |
| Data-Efficient Reinforcement Learning for Variable Impedance Control AS Anand, R Kaushik, JT Gravdahl, FJ Abu-Dakka IEEE Access, 2024 | | 2024 |
| Model-based Reinforcement Learning for Variable Impedance Control AS Anand NTNU, 2023 | | 2023 |
| Deep Model Predictive Variable Impedance Control AS Anand, FJ Abu-Dakka, JT Gravdahl arXiv preprint arXiv:2209.09614, 2022 | | 2022 |
Andre SeyfarthProfessor of Sports Biomechanics, TU DarmstadtVerifisert e-postadresse på sport.tu-darmstadt.de
