Chris McKinnon
Chris McKinnon
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
30*2016
Learning Multimodal Models for Robot Dynamics Online with a Mixture of Gaussian Process Experts
CD McKinnon, AP Schoellig
212017
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
212014
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
192019
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
142020
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
122018
Learning Probabilistic Models for Safe Predictive Control in Unknown Environments
CD McKinnon, AP Schoellig
2019 18th European Control Conference (ECC), 2472-2479, 2019
102019
Data Driven, Force Based Interaction for Quadrotors
CD McKinnon, AP Schoellig
University of Toronto, 2015
32015
Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control
CD McKinnon, AP Schoellig
2020 IEEE International Conference on Robotics and Automation (ICRA), 2386-2392, 2020
22020
Meta Learning With Paired Forward and Inverse Models for Efficient Receding Horizon Control
CD McKinnon, AP Schoellig
IEEE Robotics and Automation Letters 6 (2), 3240-3247, 2021
2021
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