Planning desired center of Mass and zero moment point trajectories for bipedal locomotion

Leonardo Lanari, Seth Hutchinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we consider the problem of simultaneously synthesizing desired trajectories for both the center of mass (CoM) and zero moment point (ZMP) of a bipedal robot. The approach extends our past work, in which we derived an explicit constraint that ensures boundedness of CoM trajectories for a given reference ZMP trajectory. We parameterize the desired ZMP trajectory by a sequence of basis functions; these design parameters are optimized by an algorithm, in which the CoM boundedness constraint as well as ZMP and other CoM specifications are simultaneously satisfied. When these specifications do not fully constrain the solution, we apply a null-space projection approach that allows the incorporation of additional design criteria. We present simulation results for both the linear inverted pendulum model, and for a model that includes swing leg dynamics.

Original languageEnglish (US)
Title of host publicationHumanoids 2015
Subtitle of host publicationHumanoids in the New Media Age - IEEE RAS International Conference on Humanoid Robots
PublisherIEEE Computer Society
Pages637-642
Number of pages6
ISBN (Electronic)9781479968855
DOIs
StatePublished - Dec 22 2015
Event15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015 - Seoul, Korea, Republic of
Duration: Nov 3 2015Nov 5 2015

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
Volume2015-December
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Other

Other15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period11/3/1511/5/15

Keywords

  • Algorithm design and analysis
  • Differential equations
  • Planning
  • Robots
  • Simulation
  • Splines (mathematics)
  • Trajectory

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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