Dieter Fox

Dieter Fox is Senior Director of Robotics Research at Nvidia. His research is in robotics, with strong connections to artificial intelligence, computer vision, and machine learning. He is currently on partial leave from the University of Washington, where he is a Professor in the Paul G. Allen School of Computer Science & Engineering. At UW, he also heads the UW Robotics and State Estimation Lab. From 2009 to 2011, he was Director of the Intel Research Labs Seattle. Dieter obtained his Ph.D. from the University of Bonn, Germany. He has published more than 200 technical papers and is the co-author of the textbook "Probabilistic Robotics." He is a Fellow of the IEEE and the AAAI, and he received several best paper awards at major robotics, AI, and computer vision conferences. He was an editor of the IEEE Transactions on Robotics, program co-chair of the 2008 AAAI Conference on Artificial Intelligence, and program chair of the 2013 Robotics: Science and Systems conference.

Research Area(s)

Computer Vision

Artificial Intelligence and Machine Learning

Main Field of Interest

Robotics

Google Scholar

https://scholar.google.com/citations?user=DqXsbPAAAAAJ&hl=en&authuser=1

Publications

2023

Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning

Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox

First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023

Imitating Task and Motion Planning with Visuomotor Transformers

Murtaza Dalal, Ajay Mandlekar, Caelan Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox

CoRL 2023

RVT: Robotic View Transformer for 3D Object Manipulation

Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox

Conference on Robot Learning (CoRL) 2023

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability

Xiaolin Fang, Caelan Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox

CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP)

Human-In-The-Loop Task and Motion Planning for Imitation Learning

Ajay Mandlekar, Caelan Garrett, Danfei Xu, Dieter Fox

CoRL 2023

Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation

Constantinos Chamzas, Caelan Garrett, Balakumar Sundaralingam, Lydia Kavraki, Dieter Fox

RSS 2023 Workshop on Learning for Task and Motion Planning

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning

Zhutian Yang, Caelan Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox

Robotics: Science and Systems (RSS)

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox

Robotics: Science and Systems (RSS) 2023

Learning Human-to-Robot Handovers from Point Clouds

Sammy Christen, Wei Yang, Claudia Pérez D’Arpino , Otmar Hilliges, Dieter Fox, Yu-Wei Chao

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Highlight

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield

CVPR 2023

DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality

Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State

https://arxiv.org/abs/2210.13702

ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models

Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg

The International Conference on Robotics and Automation (ICRA)

CuRobo: Parallelized Collision-Free Robot Motion Generation

Balakumar Sundaralingam, Siva Hari, Adam Fishman, Caelan Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan Ratliff, Dieter Fox

IEEE International Conference on Robotics and Automation (ICRA)

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets

Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox

IEEE International Conference on Robotics and Automation (ICRA)

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality

Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang