Chris McKinnon
Chris McKinnon
PhD Candidate, University of Toronto
Verified email at mail.utoronto.ca
TitleCited byYear
Unscented External Force Estimation for Quadrotors and Experiments
CD McKinnon, AP Schoellig
arXiv preprint arXiv:1603.02772, 2016
15*2016
Learning Multimodal Models for Robot Dynamics Online with a Mixture of Gaussian Process Experts
CD McKinnon, AP Schoellig
12*
Automatic Identification of Large Fragments in a Pile of Broken Rock Using a Time-of-Flight Camera
C McKinnon, J Marshall
Automation Science and Engineering, IEEE Transactions on 11 (3), 935-942, 2014
82014
Experience-based model selection to enable long-term, safe control for repetitive tasks under changing conditions
CD McKinnon, AP Schoellig
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
72018
Learn Fast, Forget Slow: Safe Predictive Learning Control for Systems With Unknown and Changing Dynamics Performing Repetitive Tasks
CD McKinnon, AP Schoellig
IEEE Robotics and Automation Letters 4 (2), 2180-2187, 2019
22019
Data Driven, Force Based Interaction for Quadrotors
CD McKinnon, AP Schoellig
University of Toronto, 2015
12015
Learning Probabilistic Models for Safe Predictive Control in Unknown Environments
CD McKinnon, AP Schoellig
Proc. of the European Control Conference (ECC), 2019
2019
Experience Recommendation for Long Term Safe Learning-based Model Predictive Control in Changing Operating Conditions
CD McKinnon, AP Schoellig
arXiv preprint arXiv:1803.04065, 2018
2018
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Articles 1–8