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Aaron Young
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Journal Articles

Biomechanical Evaluation of Stair Ambulation Using Impedance Control on an Active Prosthesis

Jonathan Camargo, Krishan Bhakta, Kinsey Herrin, Aaron Young
Journal: Journal of Biomechanical Engineering
Publisher: ASME
Article Type: Research-Article
J Biomech Eng. February 2023, 145(2): 021007.
Paper No: BIO-22-1158
https://doi.org/10.1115/1.4055759
Published Online: October 6, 2022
View Article titled, Biomechanical Evaluation of Stair Ambulation Using Impedance Control on an Active Prosthesis
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Topics: Prostheses, Stairs, Biomechanics, Knee, Kinematics
Includes: Supplementary data
Journal Articles

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multiagent Scenarios

Aaron Young, Jay Taves, Asher Elmquist, Simone Benatti, Alessandro Tasora, Radu Serban, Dan Negrut
Journal: Journal of Computational and Nonlinear Dynamics
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. May 2022, 17(5): 051001.
Paper No: CND-21-1304
https://doi.org/10.1115/1.4053321
Published Online: March 8, 2022
View Article titled, Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multiagent Scenarios
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Topics: Simulation, Vehicles, Sensors, Mechanical admittance, Roads
Proceedings Papers

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Aaron Young, Jay Taves, Asher Elmquist, Radu Serban, Dan Negrut, Simone Benatti, Alessandro Tasora
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A022, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67070
https://doi.org/10.1115/DETC2021-67070
View Paper titled, Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios
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Topics: Artificial intelligence, Mechanical admittance, Physics, Roads, Simulation, Sensors, Testing, Engines, Vehicles, American Petroleum Institute
Proceedings Papers

Stochastic Optimization of Impedance Parameters for a Powered Prosthesis Using a 3D Simulation Environment

Jonathan Camargo, Krishan Bhakta, Aaron Young
Proc. ASME. DSCC2018, Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control, V003T29A006, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9206
https://doi.org/10.1115/DSCC2018-9206
View Paper titled, Stochastic Optimization of Impedance Parameters for a Powered Prosthesis Using a 3D Simulation Environment
Open the PDF for Stochastic Optimization of Impedance Parameters for a Powered Prosthesis Using a 3D Simulation Environment in another window
Topics: Optimization, Prostheses, Simulation, Control equipment, Trajectories (Physics), Errors, Kinematics, Knee, Robotics