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A User's Guide to Calibrating Robotics Simulators


Nov 17, 2020
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos

* Accepted at Conference on Robot Learning 2020 

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Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents


Sep 09, 2020
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi

* IROS 2020; Code available at https://github.com/duckietown 

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Curriculum in Gradient-Based Meta-Reinforcement Learning


Feb 19, 2020
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Chris J. Pal, Liam Paull

* 11 pages, 10 figures 

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Generating Automatic Curricula via Self-Supervised Active Domain Randomization


Feb 18, 2020
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull


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Active Domain Randomization


Apr 09, 2019
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull

* Code available at https://github.com/montrealrobotics/active-domainrand 

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The AI Driving Olympics at NeurIPS 2018


Mar 06, 2019
Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull

* Competition, robotics, safety-critical AI, self-driving cars, autonomous mobility on demand, Duckietown 

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A Scalable, Flexible Augmentation of the Student Education Process


Oct 17, 2018
Bhairav Mehta, Adithya Ramanathan

* Submitted to NIPS 2018 AI for Social Good Workshop 

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