- Ph.D. Student, Aerospace Science and Engineering (Autonomous Space Robotics Lab, University of Toronto)
- B.Eng., Honours Electrical Engineering (McGill University)
Ph.D. Candidate (Autonomous Space Robotics Lab, University of Toronto)
B.Eng. (Honours Electrical Engineering, McGill University)
Institute for Aerospace Studies
University of Toronto
4925 Dufferin Street, Room 150B
Toronto, Ontario, Canada
M3H 5T6
chris.ostafew [at] mail.utoronto.ca
office: +1 416-667-7730
fax: +1 416-667-7799
skype: chris.ostafew
Google Scholar
Research • Education • Work • Publications
I am interested in developing novel learning control strategies to enable online performance improvements of robotic systems based on experience. In many cases, system identification for controller design is a challenging task, especially when trying to account for interactions with unmodelled environmental disturbances. Our approach is to learn these disturbances online and incorporate them either through feed-forward control or model improvements. The techniques are being tested in the context the ASRL Visual Teach and Repeat algorithm, originally developed by Furgale and Barfoot (2010), and the Network of Reusable Paths algorithm, originally developed by Stenning and Barfoot (2011).
You can also find my publications on Google Scholar.