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Learning to Act with Affordance-Aware Multimodal Neural SLAM


Feb 04, 2022
Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav Sukhatme


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From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence


Oct 28, 2021
Nicholas Roy, Ingmar Posner, Tim Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Dan Koditschek, Tomas Lozano-Perez, Vikash Mansinghka, Christopher Pal, Blake Richards, Dorsa Sadigh, Stefan Schaal, Gaurav Sukhatme, Denis Therien, Marc Toussaint, Michiel Van de Panne


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Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning


Sep 16, 2021
Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav Sukhatme

* 14 pages, 11 figures 

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Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion


Aug 10, 2021
Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav Sukhatme

* https://github.com/amazon-research/embert 

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Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning


Jun 29, 2021
K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav Sukhatme

* Accepted to Challenges of Real World Reinforcement Learning, Virtual Workshop at NeurIPS 2020 

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Towards Exploiting Geometry and Time for FastOff-Distribution Adaptation in Multi-Task RobotLearning


Jun 24, 2021
K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav Sukhatme

* Accepted to Challenges of Real World Reinforcement Learning, Virtual Workshop at NeurIPS 2020 

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Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning


Jun 23, 2020
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

* Paper published in ICML2020. Visualizations of trained policies can be found at https://sites.google.com/view/sample-factory 

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Encoding Physical Constraints in Differentiable Newton-Euler Algorithm


Feb 19, 2020
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

* 10 pages (i.e. 8 pages of technical content and 2 pages of the Bibliography/References), submitted and currently under review for publication at the 2nd Learning for Dynamics and Control (L4DC) Conference, year 2020 

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