Autonomy Lab

Autonomy Lab
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2018-2019: Richard Vaughan is on leave and not taking new students. See here for more information

The Autonomy Lab's research goal is to increase the capabilities, robustness and overall autonomy of mobile robot systems. Our research has these main themes:

applying the latest AI-based sensing techniques to robot navigation and human-robot interaction
creating tools and techniques for programming, simulating and evaluating populations of robots
applying models of animal behavior to extend or improve robots, particularly multi-robot systems

The Lab is directed by Richard Vaughan. Our computer systems are managed by Sepehr MohaimenianPour.

Part of the NSERC Canadian Field Robotics Network

News

2018.12.18: Payam Nikdel will defend his MSc thesis on robots that follow ahead of users and detect navigation landmarks.

2018.12.12: Congratulations to Rakesh Shrestha who successfully defended his excellent MSc thesis on Visual-Intertial Odometry and CNNs for enhanced Frontier Exploration today. Rakesh passed witn no corrections

2018.11.21: Richard Vaughan gave a SFU President's Faculty Lecture at SFU Surrey. Watch the video here

2018.11.20: Congratulations to Pratik Gujjar who successfully defended his very cool MSc thesis work on predicting the near future of pedestrians in video in the School of Computing Science today. Pratik passed witn no corrections

2018.10.24: Congratulations to our Stanford collaborator Hangjian Ling and the whole HFSP team for our first joint publication Simultaneous measurements of three-dimensional trajectories and wingbeat frequencies of birds in the field, which appears in the Journal of the Royal Society Interface today.

2018.9.10: Sepehr MohaimenianPour won a best paper prize at IROS 2018: the JTCF Novel Technology Paper Award for Amusement Culture. Read the paper on our publications page. Sepehr's hand-and-face tracker for UAV applications has state of the art accuracy, speed and robustness.

2018.9.1: Jacob Perron joined Open Robotics, maintainers of ROS, to work on the most influential robot software in the world.

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