June 2020 | Volume 39 | Issue 1 | Page 1 Journal of Engineering and Applied Sciences Research Article Introduction W hile completing complex tasks in a dynamic environment, a single robot faces certain operational constraints. To improve the overall system performance and to reduce such limitations, the idea of multi-robot system (MRS) has been proposed (Khan et al., 2014). An MRS is composed of a set of self-organizing robots which seek to fnd an appropriate solution for a complex task in an autonomous manner. Te robots in an MRS typically possess some degree of artifcial intelligence and have local observations. Tey observe variations in the environment and in other robots, and take measures built on this knowledge. Co-ordination and co-operation in an MRS may be described as “the group members accomplishing the tasks together in an organized manner to complete a global task either that cannot be completed by a single robot, or whose efciency and performance can be improved by using more than one robot”. An individual robot in such a system not only completes its own task, but also looks for and communicates with other group members to identify if there are more essential and crucial tasks that need to be completed in a timely manner. Numerous algorithms and architectures have been developed and analyzed for multi-robot co-operation (MRC) which include market-based approaches, Abstract: Te human immune system is a highly sophisticated system of biological structures that defends the human body against harmful antigens. In this paper, the concept of biological immune system, idiotypic network theory and clonal selection theory are applied in multi-robot cooperation. Idiotypic network theory governs the stimulation and suppression of an antibody in response to an antigen. Clonal selection theory represents how immune cells mutate and proliferate into memory cells. Te methodology presented in this paper is autonomous and de-centralized. In the proposed system, the robots work efectively to complete a task either alone or co-operatively. Specifcally, the coordination and communication among various robots are established based on the concept of immune system, idiotypic network theory and clonal selection theory. Te developed methodology is successfully implemented through simulation. Te experiments show that the simulated robots completed all tasks efectively. Muhammad Saeed Shah 1 , Fazal Nasir 2 , Sana Ul Haq 1 and Muhammad Tahir Khan 2 * 1 Department of Electronics, University of Peshawar, Pakistan; 2 Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan. Received: January 12, 2020; Accepted: May 23, 2020; Published: June 18, 2020 *Correspondence: Muhammad Tahir Khan, Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan; Email: tahir@uetpeshawar.edu.pk Citation: Shah, M.S., F. Nasir, S.U. Haq and M.T. Khan. 2020. Cooperative multi-robot framework using artifcial immune system and fuzzy logic. Journal of Engineering and Applied Sciences, 39(1): 01-13. DOI: http://dx.doi.org/10.17582/journal.jeas/39.1.01.13 Keywords: Multi-robot cooperation, Idiotypic network theory, Clonal selection theory, Artifcial immune system Cooperative Multi-Robot Framework Using Artificial Immune System and Fuzzy Logic