Motion Primitives for Human-Inspired Bipedal Robotic Locomotion: Walking and Stair Climbing Matthew J. Powell, Huihua Zhao, and Aaron D. Ames Abstract— This paper presents an approach to the development of bipedal robo - Humanoid - Document - PDFSEARCH.IO

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	Motion Primitives for Human-Inspired Bipedal Robotic Locomotion: Walking and Stair Climbing Matthew J. Powell, Huihua Zhao, and Aaron D. Ames Abstract— This paper presents an approach to the development of bipedal robo Add to Reading List Document Date: 2012-03-23 12:29:23 Open Document File Size: 1,65 MB Share Result on Facebook City Philadelphia / Orlando / New York / Beijing / Barcelona / / Company Nonlinear Systems / HYBRID AND META-HYBRID SYSTEMS / B. Meta-Hybrid Systems / rc Lc / CRC Press / Hybrid Systems / / Country United States / / / Facility Texas A&M University / / IndustryTerm evolutionary algorithm / prosthetic devices / meta-systems / control law / / Organization National Aeronautics and Space Administration / Texas A&M University / National Science Foundation / Department of Mechanical Engineering / / Person Huihua Zhao / Matthew J. Powell / / Position author / rt / guard / feedback linearization controller / Controller / / Product Pentax K-x Digital Camera / / ProgrammingLanguage R / / PublishedMedium Lippincott Williams & Wilkins / / Technology simulation / / SocialTag Humanoid robot Robot locomotion Bipedalism Motion planning Mecha Walking Zero moment point Kinematics Robotics Robot control

Motion Primitives for Human-Inspired Bipedal Robotic Locomotion: Walking and Stair Climbing Matthew J. Powell, Huihua Zhao, and Aaron D. Ames Abstract— This paper presents an approach to the development of bipedal roboAdd to Reading List