Chris McKinnon
Chris McKinnon
PhD Candidate, University of Toronto
Verified email at mail.utoronto.ca
Title
Cited by
Cited by
Year
Unscented External Force Estimation for Quadrotors and Experiments
CD McKinnon, AP Schoellig
arXiv preprint arXiv:1603.02772, 2016
20*2016
Learning Multimodal Models for Robot Dynamics Online with a Mixture of Gaussian Process Experts
CD McKinnon, AP Schoellig
132017
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
92018
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
92014
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
52019
Data Driven, Force Based Interaction for Quadrotors
CD McKinnon, AP Schoellig
University of Toronto, 2015
22015
Learning Probabilistic Models for Safe Predictive Control in Unknown Environments
CD McKinnon, AP Schoellig
2019 18th European Control Conference (ECC), 2472-2479, 2019
12019
Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors
CD McKinnon, AP Schoellig
Robotics and Autonomous Systems 123, 103314, 2020
2020
Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control
CD McKinnon, AP Schoellig
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Articles 1–9