R
Ryan W. Sinnet
Researcher at Texas A&M University
Publications - 23
Citations - 956
Ryan W. Sinnet is an academic researcher from Texas A&M University. The author has contributed to research in topics: Robotic arm & Robotics. The author has an hindex of 10, co-authored 22 publications receiving 815 citations. Previous affiliations of Ryan W. Sinnet include McGill University.
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Journal ArticleDOI
Models, feedback control, and open problems of 3D bipedal robotic walking
TL;DR: The goals of this paper are to highlight certain properties of the models which greatly influence the control law design; overview the literature; present two control design approaches in depth; and indicate some of the many open problems.
Journal ArticleDOI
Valkyrie: NASA's First Bipedal Humanoid Robot
Nicolaus A. Radford,Philip A. Strawser,Kimberly Hambuchen,Joshua S. Mehling,William K. Verdeyen,A. Stuart Donnan,James Holley,Jairo Sanchez,Vienny Nguyen,Lyndon Bridgwater,Reginald B. Berka,Robert O. Ambrose,Mason M. Markee,Nathan Fraser-Chanpong,Christopher McQuin,John D. Yamokoski,Stephen Hart,Raymond Guo,Adam H. Tulsa Parsons,Brian J. Wightman,Paul Dinh,Barrett Ames,Charles Blakely,Courtney Edmondson,Brett Sommers,Rochelle Rea,Chad Tobler,Heather Bibby,Brice Howard,Lei Niu,Andrew G. Lee,Michael Conover,Lily Truong,Ryan Reed,David Chesney,Robert W. Platt,Gwendolyn Johnson,Chien-Liang Fok,Nicholas Paine,Luis Sentis,Eric A. Cousineau,Ryan W. Sinnet,Jordan Lack,Matthew J. Powell,Benjamin J. Morris,Aaron D. Ames,Jide Akinyode +46 more
TL;DR: A brief system overview is presented, detailing Valkyrie's mechatronic subsystems, followed by a summarization of the inverse kinematics-based walking algorithm employed at the Trials, and some closing remarks are given about the competition.
Journal ArticleDOI
3D Bipedal Robotic Walking: Models, Feedback Control, and Open Problems
TL;DR: In this article, the authors highlight certain properties of the models which greatly influence the control law design, present two control design approaches, and indicate some of the many open problems for bipedal robots.
Journal ArticleDOI
A Human-Inspired Hybrid Control Approach to Bipedal Robotic Walking
TL;DR: A human-inspired method for achieving bipedal robotic walking is proposed in which a hybrid model of a human is used in conjunction with experimental walking data to obtain a multi-domain hybrid system.
Book ChapterDOI
Three-Dimensional Kneed Bipedal Walking: A Hybrid Geometric Approach
TL;DR: The main result of this paper is a control law that results in 3D bipedal walking obtained through stable walking gaits for the equivalent 2D bipes, and utilizing the decoupling effect afforded by the reduction process.