| Sim-to-real: Learning agile locomotion for quadruped robots J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ... arXiv preprint arXiv:1804.10332, 2018 | 822 | 2018 |
| Design and control of compliant tensegrity robots through simulation and hardware validation K Caluwaerts, J Despraz, A Işçen, AP Sabelhaus, J Bruce, B Schrauwen, ... Journal of the royal society interface 11 (98), 20140520, 2014 | 318 | 2014 |
| Data efficient reinforcement learning for legged robots Y Yang, K Caluwaerts, A Iscen, T Zhang, J Tan, V Sindhwani Conference on Robot Learning, 1-10, 2020 | 147 | 2020 |
| Policies modulating trajectory generators A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ... Conference on Robot Learning, 916-926, 2018 | 129 | 2018 |
| Design and evolution of a modular tensegrity robot platform J Bruce, K Caluwaerts, A Iscen, AP Sabelhaus, V SunSpiral 2014 IEEE International Conference on Robotics and Automation (ICRA), 3483-3489, 2014 | 116 | 2014 |
| Tensegrity based probes for planetary exploration: Entry, descent and landing (EDL) and surface mobility analysis V SunSpiral, G Gorospe, J Bruce, A Iscen, G Korbel, S Milam, A Agogino, ... International Journal of Planetary Probes 7, 13, 2013 | 102 | 2013 |
| Controlling tensegrity robots through evolution A Iscen, A Agogino, V SunSpiral, K Tumer Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 73 | 2013 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 68 | 2021 |
| Adversarial motion priors make good substitutes for complex reward functions A Escontrela, XB Peng, W Yu, T Zhang, A Iscen, K Goldberg, P Abbeel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 66 | 2022 |
| Flop and roll: Learning robust goal-directed locomotion for a tensegrity robot A Iscen, A Agogino, V SunSpiral, K Tumer 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 60 | 2014 |
| Learning tensegrity locomotion using open-loop control signals and coevolutionary algorithms A Iscen, K Caluwaerts, J Bruce, A Agogino, V SunSpiral, K Tumer Artificial life 21 (2), 119-140, 2015 | 53 | 2015 |
| Hierarchical reinforcement learning for quadruped locomotion D Jain, A Iscen, K Caluwaerts 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 49 | 2019 |
| Provably robust blackbox optimization for reinforcement learning K Choromanski, A Pacchiano, J Parker-Holder, Y Tang, D Jain, Y Yang, ... Conference on robot learning, 683-696, 2020 | 38 | 2020 |
| Norml: No-reward meta learning Y Yang, K Caluwaerts, A Iscen, J Tan, C Finn arXiv preprint arXiv:1903.01063, 2019 | 32 | 2019 |
| From pixels to legs: Hierarchical learning of quadruped locomotion D Jain, A Iscen, K Caluwaerts arXiv preprint arXiv:2011.11722, 2020 | 30 | 2020 |
| Learning to control complex tensegrity robots A Iscen, A Agogino, V SunSpiral, K Tumer Proceedings of the 2013 international conference on Autonomous agents and …, 2013 | 27 | 2013 |
| Robust distributed control of rolling tensegrity robot A Iscen, A Agogino, V SunSpiral, K Tumer The Autonomous Robots and Multirobot Systems (ARMS) Workshop at AAMAS 2013, 2013 | 23 | 2013 |
| Reward machines for vision-based robotic manipulation A Camacho, J Varley, A Zeng, D Jain, A Iscen, D Kalashnikov 2021 IEEE International Conference on Robotics and Automation (ICRA), 14284 …, 2021 | 20 | 2021 |
| Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023 | 19 | 2023 |
| Learning agile locomotion skills with a mentor A Iscen, G Yu, A Escontrela, D Jain, J Tan, K Caluwaerts 2021 IEEE International Conference on Robotics and Automation (ICRA), 2019-2025, 2021 | 18 | 2021 |
Ken CaluwaertsGoogle DeepMind在 caluwaerts.eu 的电子邮件经过验证
