Danny Driess
Danny Driess
TU Berlin
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Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
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
Towards generalist biomedical AI
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
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
Deep visual reasoning: Learning to predict action sequences for task and motion planning from an initial scene image
D Driess, JS Ha, M Toussaint
arXiv preprint arXiv:2006.05398, 2020
Large language models as general pattern machines
S Mirchandani, F Xia, P Florence, B Ichter, D Driess, MG Arenas, K Rao, ...
arXiv preprint arXiv:2307.04721, 2023
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
Learning multi-object dynamics with compositional neural radiance fields
D Driess, Z Huang, Y Li, R Tedrake, M Toussaint
Conference on robot learning, 1755-1768, 2023
Long-horizon multi-robot rearrangement planning for construction assembly
VN Hartmann, A Orthey, D Driess, OS Oguz, M Toussaint
IEEE Transactions on Robotics 39 (1), 239-252, 2022
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning
D Driess, O Oguz, JS Ha, M Toussaint
International Conference on Robotics and Automation (ICRA), 2020
Grounded decoding: Guiding text generation with grounded models for robot control
W Huang, F Xia, D Shah, D Driess, A Zeng, Y Lu, P Florence, I Mordatch, ...
arXiv preprint arXiv:2303.00855, 2023
Active Learning with Query Paths for Tactile Object Shape Exploration
D Driess, P Englert, M Toussaint
International Conference on Intelligent Robots and Systems (IROS 2017), 2017
Learning models as functionals of signed-distance fields for manipulation planning
D Driess, JS Ha, M Toussaint, R Tedrake
Conference on robot learning, 245-255, 2022
Reinforcement learning with neural radiance fields
D Driess, I Schubert, P Florence, Y Li, M Toussaint
Advances in Neural Information Processing Systems 35, 16931-16945, 2022
Robust task and motion planning for long-horizon architectural construction planning
VN Hartmann, OS Oguz, D Driess, M Toussaint, A Menges
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning
M Toussaint, JS Ha, D Driess
IEEE Robotics and Automation Letters 5 (4), 6209-6216, 2020
Foundation models in robotics: Applications, challenges, and the future
R Firoozi, J Tucker, S Tian, A Majumdar, J Sun, W Liu, Y Zhu, S Song, ...
arXiv preprint arXiv:2312.07843, 2023
Constrained Bayesian Optimization of Combined Interaction Force/Task Space Controllers for Manipulations
D Drieß, P Englert, M Toussaint
International Conference on Robotics and Automation (ICRA), 2017
Learning geometric reasoning and control for long-horizon tasks from visual input
D Driess, JS Ha, R Tedrake, M Toussaint
2021 IEEE international conference on robotics and automation (ICRA), 14298 …, 2021
Spatialvlm: Endowing vision-language models with spatial reasoning capabilities
B Chen, Z Xu, S Kirmani, B Ichter, D Sadigh, L Guibas, F Xia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
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