Dynamic optimization of N-Joint robotic limb deployments

Wolfgang Fink, Terrance L. Huntsberger, Hrand Aghazarian

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We describe an approach using a stochastic optimization framework (SOF) for operating complex mobile systems with several degrees of freedom (DOF s), such as robotic limbs with N joints, in environments that cancontain obstacles. As part of the SOF, we have employed an efficient simulated annealing algorithm normally used in computationally highly expensive optimization and search problems such as the traveling salesman problem and protein design. This algorithm is particularly suited to run onboard industrial robots, robots in telemedicine, remote spacecraft, planetary landers, and rovers, i.e., robotic platforms with limited computational capabilities. The robotic limb deployment optimization approach presented here offers an alternative to time-intensive robotic arm deployment path planning algorithms in general and in particular for robotic limb systems in which closed-form solutions do not exist. Application examples for a (N = 4)-DOF arm on a planetary exploration rover are presented.

Original languageEnglish (US)
Pages (from-to)268-280
Number of pages13
JournalJournal of Field Robotics
Volume27
Issue number3
DOIs
StatePublished - May 2010
Externally publishedYes

Fingerprint

Robotics
Planetary landers
Robotic arms
Telemedicine
Traveling salesman problem
Industrial robots
Degrees of freedom (mechanics)
Motion planning
Simulated annealing
Spacecraft
Robots
Proteins

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Dynamic optimization of N-Joint robotic limb deployments. / Fink, Wolfgang; Huntsberger, Terrance L.; Aghazarian, Hrand.

In: Journal of Field Robotics, Vol. 27, No. 3, 05.2010, p. 268-280.

Research output: Contribution to journalArticle

Fink, Wolfgang ; Huntsberger, Terrance L. ; Aghazarian, Hrand. / Dynamic optimization of N-Joint robotic limb deployments. In: Journal of Field Robotics. 2010 ; Vol. 27, No. 3. pp. 268-280.
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