Google DeepMind @ CoRL 2023
Welcome to Atlanta! Here are where you can meet the Google DeepMind team at CoRL 2023.
Workshops
- Chelsea Finn and Vincent Vanhoucke are speaking at the 2nd Workshop on Pre-Training for Robot Learning and TaskWorkshop@CoRL23.
- Nicolas Heess, Sergey Levine and Chelsea Finn are speaking at the workshop Towards Reliable and Deployable Learning-Based Robotic Systems,
- LangRob @ CoRL 2023: Fei Xia is a speaker. Ted Xiao is an organizer. RoboVQA is presented as an Oral and poster. PromptBook and KnowNo are presented as a poster.
- RT-Trajectory is presented as a poster at OODWorkshop@CoRL23.
- Pete Florence is speaking at NeuRL-RMW: Workshop for Neural Representation Learning for Robot Manipulation.
- Sergey Levine is speaking and Quan Vuan is presenting a poster at Towards Generalist Robots — CoRL23.
- Tuomas Harnooja and Saminda Abeyruwan are speaking at RoboLetics: Workshop on Robot Learning in Athletics @CoRL 2023.
Satellite Events
MuJoCo Meetup
- Announcement: https://github.com/google-deepmind/mujoco/discussions/1140
- RSVP : https://rsvp.withgoogle.com/events/mujoco-corl-2023
- Monday Nov 6th, Google ATL Office.
RT-X / Open X-Embodiment Meetup
- Open to all: Tuesday 1–1:45 PM, Main Conference Hotel in Muse 2.
Main Conference
Organizers
Jie Tan, David D’Ambrosio, Carolina Parada
Board
Vincent Vanhoucke (President), Raia Hadsell (Treasurer), Sergey Levine (Director)
ALOHA Demo at the Google DeepMind Booth
Keynotes
- “Revising Moravec’s Paradox”, Chelsea Finn
- “Bitter Lessons & Sweet Future in Robot Learning”, Karol Hausmann
Industry talk
“Open X-Embodiment and RT-X”, Quan Vuan and Chelsea Finn
Orals
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
Posters
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar, Quan Vuong, Alex Irpan, Karol Hausman, Fei Xia, Yao Lu, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Sontakke, Grecia Salazar, Huong T Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singht, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure, Benjamin Eysenbach, Ofir Nachum, Jonathan Tompson
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
Online Learning for Obstacle Avoidance
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
Huy Ha, Pete Florence, Shuran Song
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
Open-World Object Manipulation using Pre-Trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
Gesture-Informed Robot Assistance via Foundation Models
Li-Heng Lin , Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
Semantic Mechanical Search with Large Vision and Language Models
Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, brian ichter, Ken Goldberg
Large Language Models as General Pattern Machines
Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng
Language to Rewards for Robotic Skill Synthesis
Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
Geometry Matching for Multi-Embodiment Grasping
Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
General Part Assembly Planning
Yulong Li, Andy Zeng, Shuran Song
FindThis: Language-Driven Object Disambiguation in Indoor Environments
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas Guibas
