publications

2021

1. AAAI

   

   Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion

   Josh Roy and George Konidaris

   2021

   Abs arXiv Bib

   This work addresses the challenge of transferring visual policies in reinforcement learning across domains. We introduce Wasserstein Domain Confusion (WDC) to align visual representations between source and target environments, enabling agents trained in one visual domain to perform well in another without additional training.

   @inproceedings{roy2021visual,
     title = {Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion},
     author = {Roy, Josh and Konidaris, George},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2021},
   }

2019

1. IROS

   

   Advanced Autonomy on a Low-Cost Educational Drone Platform

   Luke Eller, Travis Guerin, Botao Huang, and 4 more authors

   2019

   Best Paper Finalist Abs arXiv Bib

   RoboCup Best Paper Award Finalist (3 of 1,127 accepted papers)

   Building on the original PiDrone work, this paper demonstrates that sophisticated autonomous behaviors can be achieved on low-cost hardware, making advanced robotics education more accessible. We show that a sub-$300 platform can perform SLAM, autonomous navigation, and multi-robot coordination — capabilities typically reserved for platforms costing 10x more.

   @inproceedings{eller2019advanced,
     title = {Advanced Autonomy on a Low-Cost Educational Drone Platform},
     author = {Eller, Luke and Guerin, Travis and Huang, Botao and Warren, Guanyu and Yang, Sophie and Roy, Josh and Tellex, Stefanie},
     booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     year = {2019},
   }

2018

1. IROS

   

   PiDrone: An Autonomous Educational Drone using Raspberry Pi and Python

   Isaiah Brand^*, Josh Roy^*, Aaron Ray, and 2 more authors

   2018

   Abs Bib PDF

   We created an accessible drone platform that democratizes robotics education by using commodity hardware (Raspberry Pi) and Python, making it affordable for educational institutions worldwide. This work challenged the assumption that meaningful robotics education requires expensive equipment, proving that a sub-$300 platform can teach fundamental concepts from control theory to computer vision.

   @inproceedings{brand2018pidrone,
     title = {PiDrone: An Autonomous Educational Drone using Raspberry Pi and Python},
     author = {Brand, Isaiah and Roy, Josh and Ray, Aaron and Oberlin, John and Tellex, Stefanie},
     booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     year = {2018},
   }