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TransCenter: Transformers with Dense Queries for Multiple-Object Tracking


Mar 28, 2021
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda

* 16 pages, 9 figures 

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Adversarial Training is Not Ready for Robot Learning


Mar 15, 2021
Mathias Lechner, Ramin Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger

* Accepted at the IEEE International Conference on Robotics and Automation (ICRA) 2021 

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Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars


Mar 08, 2021
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu


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Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy


Mar 04, 2021
Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus

* Published in MLSys 2021 

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Robust Place Recognition using an Imaging Lidar


Mar 03, 2021
Tixiao Shan, Brendan Englot, Fabio Duarte, Carlo Ratti, Daniela Rus

* ICRA 2021 

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The Logical Options Framework


Feb 24, 2021
Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan DeCastro, Micah J. Fry, Daniela Rus

* 23 pages, 19 figures 

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Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space


Feb 19, 2021
Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus

* Wilko, Tim, and Igor contributed equally to this work; published in Conference on Robot Learning 2020 

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DiffPD: Differentiable Projective Dynamics with Contact


Jan 15, 2021
Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik


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Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles


Oct 27, 2020
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus


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The Role of Robotics in Infectious Disease Crises


Oct 19, 2020
Gregory Hager, Vijay Kumar, Robin Murphy, Daniela Rus, Russell Taylor

* 25 pages (including title page) 

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Deep Learning Meets Projective Clustering


Oct 08, 2020
Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman


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Aggregating Long-Term Context for Learning Surgical Workflows


Sep 11, 2020
Yutong Ban, Guy Rosman, Thomas Ward, Daniel Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan Meireles, Daniela Rus


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Roboat II: A Novel Autonomous Surface Vessel for Urban Environments


Aug 24, 2020
Wei Wang, Tixiao Shan, Pietro Leoni, David Fernandez-Gutierrez, Drew Meyers, Carlo Ratti, Daniela Rus

* IROS2020 accepted 

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Distributed Motion Control for Multiple Connected Surface Vessels


Jul 24, 2020
Wei Wang, Zijian Wang, Luis Mateos, Kuan Wei Huang, Mac Schwager, Carlo Ratti, Daniela Rus

* Accepted by IROS2020 

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A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways


Jul 16, 2020
Tixiao Shan, Wei Wang, Brendan Englot, Carlo Ratti, Daniela Rus

* 59th IEEE Conference on Decision and Control 

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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping


Jul 14, 2020
Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus

* IROS 2020 

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Liquid Time-constant Networks


Jun 08, 2020
Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

* 32 pages, 9 figures 

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On Coresets for Support Vector Machines


Feb 15, 2020
Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus


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Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps


Dec 14, 2019
Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus


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Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context


Dec 02, 2019
Zehui Meng, Qi Heng Ho, Zefan Huang, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus

* Submitted to ICRA 2020 

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Provable Filter Pruning for Efficient Neural Networks


Nov 18, 2019
Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus


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SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks


Oct 11, 2019
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus

* First two authors contributed equally 

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Deep Evidential Regression


Oct 07, 2019
Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus


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Stochastic Dynamic Games in Belief Space


Sep 16, 2019
Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus

* 14 pages, 9 figures 

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Variational End-to-End Navigation and Localization


Nov 25, 2018
Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus

* Under Review, IEEE International Conference on Robotics and Automation (ICRA) 2019 

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