Path Planning of Cooperative Construction Manipulators Using Genetic Algorithms

  • Sivakumar P
  • Varghese K
  • Babu N
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

See, stats, and : https : / / www . researchgate . net / publication / 267257538 PATH CONSTRUCTION GENETIC Article CITATIONS 5 READS 8 5 , including : Koshy Indian 56 SEE N . Ramesh Indian 52 SEE All . Ramesh . The . All - text and , letting . Abstract : This paper presents the work done to investigate the potential of applying Genetic Algorithms (GA ' s) to automate the path planning of cooperative construction manipulators . Though there is potential to achieve economy by using cooperative manipulators , this method is not being commonly adopted in construction sites . A key barrier to the use of cooperative manipulators is the meticulous planning required to ensure feasible and safe operation . The basic premise of this work is that automating the different planning steps will contribute to more reliable plans and thus promote the usage of cooperative manipulator . Two methodologies have been proposed using the concept of Configuration Space (C - Space) technique in conjunction with the genetic search . The implementation details and results of the best methodology is presented and discussed for a test problem involving two cooperative manipulators each of 2 DOF .

Cite

CITATION STYLE

APA

Sivakumar, PL., Varghese, K., & Babu, N. R. (2017). Path Planning of Cooperative Construction Manipulators Using Genetic Algorithms. In Proceedings of the 17th IAARC/CIB/IEEE/IFAC/IFR International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/isarc2000/0070

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free