Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... Conference on robot learning, 651-673, 2018 | 1515 | 2018 |
Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on robot learning, 287-318, 2023 | 1277* | 2023 |
Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 512 | 2022 |
Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 378 | 2023 |
Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid A Herzog, N Rotella, S Mason, F Grimminger, S Schaal, L Righetti Autonomous Robots 40 (3), 473-491, 2016 | 259 | 2016 |
Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics A Herzog, L Righetti, F Grimminger, P Pastor, S Schaal IEEE International Conference on Intelligent Robotics Systems, 2014 | 193* | 2014 |
Learning of grasp selection based on shape-templates A Herzog, P Pastor, M Kalakrishnan, L Righetti, J Bohg, T Asfour, ... Autonomous Robots 36, 51-65, 2014 | 150 | 2014 |
Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 118 | 2023 |
Template-based learning of grasp selection A Herzog, P Pastor, M Kalakrishnan, L Righetti, T Asfour, S Schaal 2012 IEEE international conference on robotics and automation, 2379-2384, 2012 | 111 | 2012 |
A convex model of humanoid momentum dynamics for multi-contact motion generation B Ponton, A Herzog, S Schaal, L Righetti Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on …, 2016 | 105* | 2016 |
Trajectory generation for multi-contact momentum control A Herzog, N Rotella, S Schaal, L Righetti Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on …, 2015 | 104 | 2015 |
Structured contact force optimization for kino-dynamic motion generation A Herzog, S Schaal, L Righetti 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 93 | 2016 |
Walking control based on step timing adaptation M Khadiv, A Herzog, SAA Moosavian, L Righetti IEEE Transactions on Robotics 36 (3), 629-643, 2020 | 89* | 2020 |
Step timing adjustment: A step toward generating robust gaits M Khadiv, A Herzog, SAA Moosavian, L Righetti 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 76 | 2016 |
On time optimization of centroidal momentum dynamics B Ponton, A Herzog, A Del Prete, S Schaal, L Righetti 2018 IEEE International Conference on Robotics and Automation (ICRA), 5776-5782, 2018 | 72 | 2018 |
Robot arm pose estimation through pixel-wise part classification J Bohg, J Romero, A Herzog, S Schaal 2014 IEEE International Conference on Robotics and Automation (ICRA), 3143-3150, 2014 | 72 | 2014 |
Rt-2: Vision-language-action models transfer web knowledge to robotic control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023 | 68 | 2023 |
Watch, try, learn: Meta-learning from demonstrations and reward A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ... arXiv preprint arXiv:1906.03352, 2019 | 61 | 2019 |
Aw-opt: Learning robotic skills with imitation andreinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning, 1078-1088, 2022 | 55 | 2022 |
Thinking while moving: Deep reinforcement learning with concurrent control T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog arXiv preprint arXiv:2004.06089, 2020 | 44 | 2020 |