Research Article · Volume 39, Issue 1, 12 February 2021 · Open Access
Cooperative Multi-Robot Framework Using Artificial Immune System and Fuzzy Logic
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Affiliations & Notes ⌄
- 1Department of Electronics, University of Peshawar, Pakistan
- 2Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan. *Correspondence: Muhammad Tahir Khan, Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan
- 3Email: tahir@uetpeshawar.edu.pk
Article Info ⌄
- Journal:
- Journal of Engineering and Applied Sciences
- Published:
- 12 February 2021

Abstract
Figures

Antibody’s structure.



Idiotypic network theory.

Clonal selection theory.

Control framework for MRC.

Flowchart for battery charging of a robot.

Antibody’s (B-robot) light and heavy chains.

Block diagram of the proposed algorithm for fuzzy binding affinity.

Input membership functions:(a) Distance, (b) Battery, (c) Speed, (d) Obstacles, (e) Success rate.

Output Binding Affinity membership function.

Comparison of the paratrope of antibody (B-robot) with epitope of task.

Matching of the antibody (B-robot) paratrope and idiotope.

Response of the antibody to a complex antigen (task).

Heavy chain HC2 showing capabilities of the task accomplished through a specific response.

Simulation platform.

Time (stpes) spent in each run to complete the tasks.

Total messages exchanged during task accomplishment in each run.

Average time (steps) taken to complete the tasks as a function P-robots.

Average messages exchanged during tasks completion as a function of P-robots.

Average time (steps) taken to complete the tasks as a function T-robots.

Average messages exchanged during tasks completion as a function of T-robots.
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