The International Journal of Robotics Research, 2019, manuscript # IJR-19-3688 (Submitted)
I was one of the early testers of SenseAct, an open-source framework for real-time reinforcement learning. I confirmed the reproducibility of some of the learning experiments on our lab's robot, provided suggestions and improvements, and contributed to the repository on GitHub. A summary of my work is available in the blog post linked below.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 4 - 8 November 2019
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, "Towards Robots that Exhibit Manipulation Intelligence", Madrid, Spain, 2018
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 21 - 25 May 2018
This course provides an introduction to aspects of computer vision specifically relevant to robotics applications. I was in charge of automating the grading of the programming assignments.
This course addresses the integration of state estimation, computer vision, control and planning for mobile robotics. I led the weekly lab sessions where the students implemented various algorithms on real hardware.
I was part of McGill Robotics, a student design team. I led the design and manufacturing of the pressure vessels for the batteries and hydrophones. I contributed to the refactoring, testing, and documentation of the main control code base.