• Emerging trends in realistic robotic simulations: A comprehensive systematic literature review

Kargar, Seyed Mohamad ORCID: https://orcid.org/0000-0003-3876-0438, Yordanov, Borislav, Harvey, Carlo and Asadipour, Ali ORCID: https://orcid.org/0000-0003-0159-3090, 2024, Journal Article, Emerging trends in realistic robotic simulations: A comprehensive systematic literature review IEEE Access. pp. 1-26. ISSN 2169-3536

Abstract or Description:

Simulation plays a pivotal role in providing safely reproducible scenarios to evaluate the ever-advancing domain of computer science and robotics. It was an essential part of the pandemic when no access to physical spaces was available. The advent of AI-powered platforms in conjunction with enhanced graphics, physics and other sensory engines attracts a new breed of interdisciplinary researchers to enter the robotic field, most notably from computer science, engineering and social sciences. Integration of ROS as a uniform middleware to deploy achieved outcomes in real practice provides an opportunity to move one step closer to the sim-to-real experiences that enables researchers to test ideas beyond the close laboratory spaces. There is a lack of comprehensive evaluation of ROS-enabled simulators, and the integration of advanced AI techniques for realistic scenario replication. This paper addresses this challenge by evaluating ROSenabled simulators in the design and implementation of AI techniques through an in-depth systematic literature review (SLR). This SLR is guided by the research and commercial market demands, employing Population, Intervention, Comparison, Outcome, and Context (PICOC) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) frameworks with a major focus on Wheeled Mobile Robots (WMRs). We also highlight the increasing importance of game engines like Unity and Unreal in future of robotic simulations, especially under modelling close to real experiences. By comparing simulation platform features and capabilities, this paper offers guidance to developers and researchers, enabling them to select the most suitable platform for their projects efficiently that contradicts the commonly in use “one size fits all” approach. Finally, based on the thorough insights from the review, we identify and suggest some key future research directions in AI-enhanced realistic robotic simulations.

Subjects: Creative Arts and Design > W900 Others in Creative Arts and Design
School or Centre: Research Centres > Computer Science Research Centre
Funders: Laboratory for Artificial Intelligence in Design (Project Code: RP2-7) under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government
Identification Number or DOI: https://doi.org/10.1109/access.2024.3404881
SWORD Depositor: Unnamed user with username publicationrouter
Date Deposited: 15 Jun 2024 14:27
Last Modified: 15 Jun 2024 14:28
URI: https://researchonline.rca.ac.uk/id/eprint/5863
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