Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems

• Published in: Industrial robot Vol. 47; no. 6; pp. 929 - 942
• Main Authors: N., Seenu, R.M., Kuppan Chetty, M.M., Ramya, Janardhanan, Mukund Nilakantan
• Format: Journal Article
• Language: English
• Published: Bedford Emerald Group Publishing Limited 09.10.2020
• Subjects: Communication; Completion time; Evacuations & rescues; Methods; Multiple robots; Optimization; Robotics; Robots; State-of-the-art reviews; Surveillance
• ISSN: 0143-991X; 1758-5791
• DOI: 10.1108/IR-04-2020-0073

PurposeThis paper aims to present a concise review on the variant state-of-the-art dynamic task allocation strategies. It presents a thorough discussion about the existing dynamic task allocation strategies mainly with respect to the problem application, constraints, objective functions and uncertainty handling methods.Design/methodology/approachThis paper briefs the introduction of multi-robot dynamic task allocation problem and discloses the challenges that exist in real-world dynamic task allocation problems. Numerous task allocation strategies are discussed in this paper, and it establishes the characteristics features between them in a qualitative manner. This paper also exhibits the existing research gaps and conducive future research directions in dynamic task allocation for multiple mobile robot systems.FindingsThis paper concerns the objective functions, robustness, task allocation time, completion time, and task reallocation feature for performance analysis of different task allocation strategies. It prescribes suitable real-world applications for variant task allocation strategies and identifies the challenges to be resolved in multi-robot task allocation strategies.Originality/valueThis paper provides a comprehensive review of dynamic task allocation strategies and incites the salient research directions to the researchers in multi-robot dynamic task allocation problems. This paper aims to summarize the latest approaches in the application of exploration problems.