Application of Meta-Heuristic Optimization Techniques for Design Optimization of a Robotic Gripper

Golak Bihari Mahanta, Amruta Rout, Deepak Bbvl and Bibhuti Bhusan Biswal
Additional contact information
Golak Bihari Mahanta: National Institute of Technology, Rourkela, India
Amruta Rout: National Institute of Technology, Rourkela, India
Deepak Bbvl: National Institute of Technology, Rourkela, India
Bibhuti Bhusan Biswal: National Institute of Technology, Rourkela, India

International Journal of Applied Metaheuristic Computing (IJAMC), 2019, vol. 10, issue 3, 107-133

Abstract: Robotic grippers play a key player in the industrial robotics application such as pick and place, and assembly. In this article, geometric modeling of a robotic gripper is proposed and a plan is outlined to obtain optimized design parameters of the robotic gripper using various meta-heuristics techniques. The proposed system was solved in two-step methodology as geometric modeling followed by the formulation of objective functions. The developed two objective functions of the robotic gripper are complex and act as the multi-objective constraint optimization problem. Seven decision variables are chosen to develop the geometric model, and the proposed objective function for the robotic gripper is solved using different metaheuristic techniques such as ABC, FA, TLBO, ACO, and PSO algorithm. A statistical study conducted considering the 100 independent run for all the algorithms.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAMC.2019070106 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jamc00:v:10:y:2019:i:3:p:107-133

Access Statistics for this article

International Journal of Applied Metaheuristic Computing (IJAMC) is currently edited by Peng-Yeng Yin

More articles in International Journal of Applied Metaheuristic Computing (IJAMC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().