Danny Driess

Danny Driess

Universität Stuttgart

H-index: 19

Europe-Germany

About Danny Driess

Danny Driess, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Universität Stuttgart, specializes in the field of Machine Learning, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards generalist biomedical ai

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Palm-e: An embodied multimodal language model

Foundation models in robotics: Applications, challenges, and the future

Learning multi-object dynamics with compositional neural radiance fields

Rt-2: Vision-language-action models transfer web knowledge to robotic control

Danny Driess Information

University

Position

___

Citations(all)

1534

Citations(since 2020)

1522

Cited By

136

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Universität Stuttgart

Google Scholar

View Google Scholar Profile

Danny Driess Skills & Research Interests

Machine Learning

Robotics

Top articles of Danny Driess

Title

Journal

Author(s)

Publication Date

Towards generalist biomedical ai

NEJM AI

Tao Tu

Shekoofeh Azizi

Danny Driess

Mike Schaekermann

Mohamed Amin

...

2024/3

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents

arXiv preprint arXiv:2303.00855

Wenlong Huang

Fei Xia

Dhruv Shah

Danny Driess

Andy Zeng

...

2023/3/1

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

arXiv preprint arXiv:2402.07872

Soroush Nasiriany

Fei Xia

Wenhao Yu

Ted Xiao

Jacky Liang

...

2024/2/12

Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

arXiv preprint arXiv:2401.12168

Boyuan Chen

Zhuo Xu

Sean Kirmani

Brian Ichter

Danny Driess

...

2024/1/22

Palm-e: An embodied multimodal language model

The International Conference on Machine Learning

Danny Driess

Fei Xia

Mehdi SM Sajjadi

Corey Lynch

Aakanksha Chowdhery

...

2023/3/6

Foundation models in robotics: Applications, challenges, and the future

arXiv preprint arXiv:2312.07843

Roya Firoozi

Johnathan Tucker

Stephen Tian

Anirudha Majumdar

Jiankai Sun

...

2023/12/13

Learning multi-object dynamics with compositional neural radiance fields

Danny Driess

Zhiao Huang

Yunzhu Li

Russ Tedrake

Marc Toussaint

2023/3/6

Rt-2: Vision-language-action models transfer web knowledge to robotic control

7th Annual Conference on Robot Learning

Anthony Brohan

Noah Brown

Justice Carbajal

Yevgen Chebotar

Xi Chen

...

2023/7/28

Open x-embodiment: Robotic learning datasets and RT-x models

arXiv preprint arXiv:2310.08864

Abhishek Padalkar

Acorn Pooley

Ajinkya Jain

Alex Bewley

Alex Herzog

...

2023/10/13

Large language models as general pattern machines

7th Annual Conference on Robot Learning

Suvir Mirchandani

Fei Xia

Pete Florence

Brian Ichter

Danny Driess

...

2023/7/10

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning

Joaquim Ortiz-Haro

Jung-Su Ha

Danny Driess

Erez Karpas

Marc Toussaint

2023/5/29

Long-horizon multi-robot rearrangement planning for construction assembly

IEEE Transactions on Robotics

Valentin N. Hartmann

Andreas Orthey

Danny Driess

Ozgur S. Oguz

Marc Toussaint

2022

Deep visual constraints: Neural implicit models for manipulation planning from visual input

IEEE Robotics and Automation Letters, 2022

Jung-Su Ha

Danny Driess

Marc Toussaint

2021/12/9

Structured deep generative models for sampling on constraint manifolds in sequential manipulation

Joaquim Ortiz-Haro

Jung-Su Ha

Danny Driess

Marc Toussaint

2022/1/11

Reinforcement learning with neural radiance fields

Advances in Neural Information Processing Systems

Danny Driess

Ingmar Schubert

Pete Florence

Yunzhu Li

Marc Toussaint

2022/12/6

Learning models as functionals of signed-distance fields for manipulation planning

Danny Driess

Jung-Su Ha

Marc Toussaint

Russ Tedrake

2022/1/11

FC3: Feasibility-Based Control Chain Coordination

Jason Harris

Danny Driess

Marc Toussaint

2022/10/23

Sequence-of-constraints mpc: Reactive timing-optimal control of sequential manipulation

Marc Toussaint

Jason Harris

Jung-Su Ha

Danny Driess

Wolfgang Hönig

2022/10/23

Learning neural implicit functions as object representations for robotic manipulation

Jung-Su Ha

Danny Driess

Marc Toussaint

2021/10/6

Learning geometric reasoning and control for long-horizon tasks from visual input

Danny Driess

Jung-Su Ha

Russ Tedrake

Marc Toussaint

2021/5/30

See List of Professors in Danny Driess University(Universität Stuttgart)

Co-Authors

H-index: 74
Russ Tedrake

Russ Tedrake

Massachusetts Institute of Technology

H-index: 50
Marc Toussaint

Marc Toussaint

Technische Universität Berlin

H-index: 23
Yunzhu Li

Yunzhu Li

Massachusetts Institute of Technology

H-index: 20
Wolfgang Hönig

Wolfgang Hönig

California Institute of Technology

H-index: 20
Daniel Haeufle

Daniel Haeufle

Eberhard Karls Universität Tübingen

H-index: 15
Zhiao Huang

Zhiao Huang

University of California, San Diego

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