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
17*2016
Learning Multimodal Models for Robot Dynamics Online with a Mixture of Gaussian Process Experts
CD McKinnon, AP Schoellig
122017
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
82018
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
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
42019
Data Driven, Force Based Interaction for Quadrotors
CD McKinnon, AP Schoellig
University of Toronto, 2015
22015
Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors
CD McKinnon, AP Schoellig
Robotics and Autonomous Systems, 103314, 2019
2019
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 1–9