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Alexander Herzog
Alexander Herzog
Google DeepMind
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Title
Cited by
Cited by
Year
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
15212018
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
1291*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
5202022
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
3882023
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
2592016
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
1502014
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
1252023
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
1122012
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
1042015
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
932016
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
762016
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
722023
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
722018
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
722014
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
612019
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
562022
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
442020
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Articles 1–20