Publications
2019
  1. A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, and Liam Paull 2019 Abstract arXiv BibTeX
  2. Deep Active Localization Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, and Liam Paull 2019 Abstract arXiv Code BibTeX
2018
  1. Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping Liam Paull, Mae Seto, John J Leonard, and Howard Li The International Journal of Robotics Research 2018 Abstract BibTeX
  2. Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps Teddy Ort, Liam Paull, and Daniela Rus In IEEE International Conference on Robotics and Automation (ICRA) 2018 Abstract arXiv BibTeX
  3. Local Positioning System Using UWB Range Measurements for an Unmanned Blimp Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull, and Roland Siegwart IEEE Robotics and Automation Letters 2018 Abstract arXiv BibTeX
  4. Geometric Consistency for Self-Supervised End-to-End Visual Odometry Ganesh Iyer, J Krishna Murthy, K Gunshi Gupta, and Liam Paull In CVPR Workshop on Deep Learning for Visual SLAM 2018 Abstract arXiv Project Page BibTeX
  5. Learning steering bounds for parallel autonomous systems Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, and Daniela Rus In IEEE International Conference on Robotics and Automation (ICRA) 2018 Abstract arXiv BibTeX
2017
  1. Duckietown: an open, inexpensive and flexible platform for autonomy education and research Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cap, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, and others In IEEE International Conference on Robotics and Automation (ICRA) 2017 Abstract arXiv BibTeX
  2. Hybrid control and learning with coresets for autonomous vehicles Guy Rosman, Liam Paull, and Daniela Rus In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Abstract arXiv BibTeX
2016
  1. A Unified Resource-Constrained Framework for Graph SLAM Liam Paull, Guoquan Huang, and John J Leonard In IEEE International Conference on Robotics and Automation (ICRA) 2016 Abstract arXiv Poster Slides Code BibTeX
  2. Slam with objects using a nonparametric pose graph Beipeng Mu, Shih-Yuan Liu, Liam Paull, John Leonard, and Jonathan P How In IEEE/RSJ International Conference onnIntelligent Robots and Systems (IROS) 2016 Abstract arXiv Video BibTeX

© Robotics and Embodied AI Lab Team, 2019

Department of Computer Science and Operations Research | Université de Montréal

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