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Tao Yang
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Cited by
Year
Design and control of a planar bipedal robot ERNIE with parallel knee compliance
T Yang, ER Westervelt, JP Schmiedeler, RA Bockbrader
Autonomous robots 25 (4), 317-330, 2008
1122008
A framework for the control of stable aperiodic walking in underactuated planar bipeds
T Yang, ER Westervelt, A Serrani, JP Schmiedeler
Autonomous Robots 27 (3), 277-290, 2009
922009
A Framework for the Control of Stable Aperiodic Walking in Underactuated Planar Bipeds
T Yang, ER Westervelt, A Serrani
Robotics and Automation, 2007 IEEE International Conference on, 4661 - 4666, 2007
922007
A new control framework of electric power steering system based on admittance control
T Yang
IEEE Transactions on Control Systems Technology 23 (2), 762-769, 2014
612014
STEERING SYSTEM DETECTING VEHICLE MOTION STATES
RRSTSTMVT Yang
US Patent App. 15/434,482, 2017
25*2017
Systematic design of current control system for permanent magnet synchronous motors
T Yang, DE Schinstock
International Journal of Control, Automation and Systems 11 (6), 1128-1137, 2013
152013
Loop shaping design for tracking performance in machine axes
DE Schinstock, Z Wei, T Yang
ISA transactions 45 (1), 55-66, 2006
152006
Control of aperiodic walking and the energetic effects of parallel joint compliance of planar bipedal robots
T Yang
The Ohio State University, 2007
82007
Hand wheel angle from vehicle dynamic sensors or wheel speeds
TW Kaufmann, T Yang
US Patent 9,540,044, 2017
62017
Using Parallel Joint Compliance to Reduce the Cost of Walking in a Planar Bipedal Robot
T Yang, ER Westervelt, JP Schmiedeler
ASME 2007 International Mechanical Engineering Congress and Exposition, 1225 …, 2007
62007
Average friction learning and average friction change estimation
T Yang, M Eickholt, S Klein, T Kaufmann, NP Popy
US Patent 9,085,316, 2015
42015
Design and control of the planar bipedal robot ERNIE
T Yang, ER Westervelt, JP Schmiedeler, RA Bockbrader
ASME International Mechanical Engineering Congress and Exposition 43033 …, 2007
42007
A Flexible System for Studying Driver Visual Attentiveness while Using Semi-Autonomous Driving Systems
G. R. Widmann, J. Salinger, C. A. Green, F
ITS World Congress 2013, 2013
1*2013
Steering mode selection using machine learning
Z Ryne, R Mitra, T Yang, ST Sanford, MR Story
US Patent 11,254,351, 2022
2022
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