Vikas Sindhwani
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Research Interests: Artificial Intelligence and Robotics
I draw inspiration from
learning, perception, reasoning and motor-control problems that a human child can solve but a machine
currently cannot. I am interested in all aspects of building large-scale, safe and robust AI systems.
I am Research Scientist in the Robotics team at
Google DeepMind,
NYC.
Bio
sindhwani@google.com
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Publications
Google Scholar Page
“We can only see a short distance ahead, but we can see plenty there
that needs to be done” – Alan Turing, 1950
“Simplicity is the final achievement” –
Frederic
Chopin
“To play a wrong note is insignificant; to play without passion is inexcusable” –
Beethoven
“Coauthorship is a closer relationship than friendship” –
Fan Chung
“The search is more important than the destination” –
A.R. Rahman
“You are never too far behind to win and never too far ahead to
lose” – seen at Arlen Specter
Squash Center
I have no doubt I'll be forgotten, and that's good. … I had the privilege of playing for you all, now let's move
on" – George Winston
2024
Achieving Human Level Competitive
Robot Table Tennis
David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni
Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama,
Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep
Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic,
Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas
Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
Project Website, 2024
Mobility VLA: Multimodal
Instruction Navigation with Long-Context VLMs and Topological Graphs
Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan
Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman,
Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean
Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn,
Peng Xu, Sergey Levine, Jie Tan
Conference on Robot Learning (CORL), 2024
2023
Socratic Models: Composing
Zero-Shot Multimodal Reasoning with Language
Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico
Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee,
Vincent Vanhoucke, Pete Florence
International Conference on Representation Learning (ICLR), 2023
2022
Learning Model Predictive
Controllers with Real-Time Attention for
Real-World Navigation
Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Edward Lee, Anthony
Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven
Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie
Tan, Carolina Parada, Vikas Sindhwani
Conference on Robot Learning (CoRL), 2022
Robotic Table Wiping via
Reinforcement Learning and Whole-body Trajectory Optimization
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz,
Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu,
Tingnan Zhang, Jie Tan, Montserrat Gonzalez
submitted, 2022
Video
Agile Catching with Whole Body MPC and Blackbox Policy Learning
Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar,
Vikas Sindhwani, Sumeet Singh, Jean-Jacques Slotine, and Stephen Tu
Learning for Agile Robotics (CoRL), 2022
Hybrid Random Features
Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas
Sindhwani, Adrian Weller
International Conference on Learning Representations (ICLR) 2022 (to appear)
2021
2020
Rearranging the Visual World: Transporter Networks
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria
Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
Conference on Robot Learning (CORL), 2020 Best Paper Presentation Award Finalist!
An Ode to an ODE
Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques Slotine, Jacob Varley, Honglak Lee, Adrian
Weller, Vikas Sindhwani
Neural Information Processing Systems (NeurIPS), 2020
2019
2018
The Geometry of Random Features
Krzysztof Choromanski, Mark Rowland, Tamas Sarlos, Vikas Sindhwani, Richard Turner, Adrian Weller
International Conference on Artificial Intelligence and Statistics (AISTATS’18)
2017
2016
2015
2014
2013
2012
2011
2010
Social Media Analytics
R. Lawrence, P. Melville, C. Perlich, V.Sindhwani, E.Meliksetian, P.Hsueh, Y. Liu
Operations Research - Management Science Today (ORMS-Today), Feburary 2010
2009
Winning the KDD Cup Orange Challenge with Ensemble Selection
A. Niculescu-Mizil, C. Perlich, G. Swirszcz, V. Sindhwani, Y. Liu, P. Melville, D. Wang, J. Xiao, J. Hu, M. Singh, W. X. Shang, Y.F. Zhu
Journal of Machine Learning Research (JMLR proceeding series), 2009 (KDD Cup Winner!)
2008
2007
2006
2005
2004
Earlier
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