ProfessorsProfessors of University of TorontoChris McKinnon

Chris McKinnon

University of Toronto

H-index: 9

North America-Canada

About Chris McKinnon

Chris McKinnon, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Control, Machine Learning, Autonomous Robots.

His recent articles reflect a diverse array of research interests and contributions to the field:

Meta Learning With Paired Forward and Inverse Models for Efficient Receding Horizon Control

Learning-Based Path-Tracking Control for Ground Robots with Discrete Changes in Dynamics

Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors

Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control

Chris McKinnon Information

University	University of Toronto
Position	PhD Candidate
Citations(all)	261
Citations(since 2020)	234
Cited By	108
hIndex(all)	9
hIndex(since 2020)	9
i10Index(all)	7
i10Index(since 2020)	7
Email	Access Email
University Profile Page	University of Toronto
Google Scholar	View Google Scholar Profile

Chris McKinnon Skills & Research Interests

Control

Machine Learning

Autonomous Robots

Top articles of Chris McKinnon

Title	Journal	Author(s)	Publication Date
Meta Learning With Paired Forward and Inverse Models for Efficient Receding Horizon Control	IEEE Robotics and Automation Letters	Christopher D McKinnon Angela P Schoellig	2021/3/4
Learning-Based Path-Tracking Control for Ground Robots with Discrete Changes in Dynamics		Christopher McKinnon	2021
Estimating and reacting to forces and torques resulting from common aerodynamic disturbances acting on quadrotors	Robotics and Autonomous Systems	Christopher D McKinnon Angela P Schoellig	2019/10/5
Context-aware Cost Shaping to Reduce the Impact of Model Error in Receding Horizon Control		Christopher D McKinnon Angela P Schoellig	2020/5/31