John McPhee

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 36

Top Topics

Electric Vehicles

Top Venues

Frontiers Comput. Neurosci.

Publications

Ali Nasr, Keaton A. Inkol, Sydney Bell, John McPhee
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling. Frontiers Comput. Neurosci. 15 (2021)
Arash Hashemi, John McPhee
Assistive Sliding Mode Control of a Rehabilitation Robot with Automatic Weight Adjustment. EMBC (2021)
William J. McNally, Kanav Vats, Alexander Wong, John McPhee
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer. IEEE Access 9 (2021)
William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera. CVPR Workshops (2021)
William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera. CoRR (2021)
Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons. EMBC (2021)
Yuan Lin, John McPhee, Nasser L. Azad
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. IEEE Trans. Intell. Veh. 6 (2) (2021)
Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee
Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks. Frontiers Neurorobotics 15 (2021)
Keaton A. Inkol, John McPhee
Simulating Human Upper and Lower Limb Balance Recovery Responses Using Nonlinear Model Predictive Control. EMBC (2021)
William J. McNally, Kanav Vats, Alexander Wong, John McPhee
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation. CoRR (2021)
Keaton A. Inkol, John McPhee
Assessing Control of Fixed-Support Balance Recovery in Wearable Lower-Limb Exoskeletons Using Multibody Dynamic Modelling. BioRob (2020)
Mohammad S. Shourijeh, Naser Mehrabi, John McPhee, Benjamin J. Fregly
Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation. Frontiers Neurorobotics 14 (2020)
Yuan Lin, John McPhee, Nasser L. Azad
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. IV (2020)
Brock Laschowski, William J. McNally, Alexander Wong, John McPhee
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses. BioRob (2020)
Brock Laschowski, William J. McNally, Alexander Wong, John McPhee
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers Robotics AI 7 (2020)
William J. McNally, Kanav Vats, Alexander Wong, John McPhee
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution. CoRR (2020)
William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong
GolfDB: A Video Database for Golf Swing Sequencing. CoRR (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Longitudinal Dynamic versus Kinematic Models for Car-following Control Using Deep Reinforcement Learning. CoRR (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. CoRR (2019)
Brock Laschowski, William J. McNally, Alexander Wong, John McPhee
Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. ICORR (2019)
William J. McNally, Alexander Wong, John McPhee
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CRV (2019)
William J. McNally, Alexander Wong, John McPhee
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CoRR (2019)
William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong
GolfDB: A Video Database for Golf Swing Sequencing. CVPR Workshops (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning. ITSC (2019)
Yuan Lin, John McPhee, Nasser L. Azad
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. CoRR (2019)
Reza Sharif Razavian, Borna Ghannadi, John McPhee
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems. Frontiers Comput. Neurosci. 13 (2019)
Anson Maitland, Mohit Batra, John McPhee
Nonlinear Model Predictive Control Reduction Using Truncated Single Shooting. ACC (2018)
Mohit Batra, Anson Maitland, John McPhee, Nasser L. Azad
Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints. ACC (2018)
Borna Ghannadi, Reza Sharif Razavian, John McPhee
Configuration-Dependent Optimal Impedance Control of an Upper Extremity Stroke Rehabilitation Manipulandum. Frontiers Robotics AI 5 (2018)
Jason Krause, John McPhee
Onboard Energy Storage Systems: Ground-Fault Detection and Protection. IEEE Veh. Technol. Mag. 13 (1) (2018)
Borna Ghannadi, Naser Mehrabi, Reza Sharif Razavian, John McPhee
Nonlinear model predictive control of an upper extremity rehabilitation robot using a two-dimensional human-robot interaction model. IROS (2017)
Reza Sharif Razavian, Borna Ghannadi, John McPhee
Feedback control of functional electrical stimulation for arbitrary upper extremity movements. ICORR (2017)
S. Amir Mousavi Lajimi, John McPhee
A comprehensive filter to reduce drift from Euler angles, velocity, and position using an IMU. CCECE (2017)
Mohit Batra, John McPhee, Nasser L. Azad
Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions. ASCC (2017)
Anson Maitland, John McPhee
Improving model predictive controller turnaround time using restricted Lagrangians. CDC (2017)
Naser Mehrabi, Reza Sharif Razavian, Borna Ghannadi, John McPhee
Predictive Simulation of Reaching Moving Targets Using Nonlinear Model Predictive Control. Frontiers Comput. Neurosci. 10 (2016)
Reza Sharif Razavian, Naser Mehrabi, John McPhee
A model-based approach to predict muscle synergies using optimization: application to feedback control. Frontiers Comput. Neurosci. 9 (2015)
Amir Taghavipour, Nasser L. Azad, John McPhee
Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. ECC (2015)
Mahyar Vajedi, Amir Taghavipour, Nasser L. Azad, John McPhee
A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. ACC (2014)
Reza Razavian, Nasser L. Azad, John McPhee
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor. ACC (2012)
Naser Mehrabi, Nasser L. Azad, John McPhee
Optimal disturbance rejection control design for Electric Power Steering systems. CDC/ECC (2011)
Chad Schmitke, John McPhee
Using linear graph theory and the principle of orthogonality to model multibody, multi-domain systems. Adv. Eng. Informatics 22 (2) (2008)
Mike Peasgood, Christopher M. Clark, John McPhee
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps. IEEE Trans. Robotics 24 (2) (2008)
Wenqin Zhou, David J. Jeffrey, Gregory J. Reid, Chad Schmitke, John McPhee
Implicit Reduced Involutive Forms and Their Application to Engineering Multibody Systems. IWMM/GIAE (2004)