Prototype of the Solution with a View to Industrialization

Bellal, Salah Eddine; Sahnoun, M’hammed; Benatia, Mohamed Amin; Mouss, Leïla Hayet

doi:10.1109/cymaen57228.2023.10050928

Cited by 1 publication

(3 citation statements)

References 9 publications

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“…• Autonomous Wheelchair [24], [96]- [98] • Rescue and healthcare services in disaster scenarios [99] • Monitoring and visualisation of ROS data in healthcare [100] • Assistance for elderly people in healthcare settings [101] • Human-vehicle interaction in healthcare [68], [102] • Long-term care facilities (LTCFs) [31], [103] • Autonomous pedestrian following (following medical staff) [104] • Medication delivery and vital signs monitoring [105] Warehouse and logistics…”

Section: Researchmentioning

confidence: 99%

“…Reference Numbers Gazebo Simulators Gazebo only [13], [15], [18], [22], [28], [30], [33], [35], [36], [53], [78], [84]- [88], [90], [92]- [96], [98], [102], [104]- [107], [111], [112], [115], [116], [123], [125], [131], [137], [140], [143], [144], [147], [150], [151], [155], [156], [158], [159], [162], [166], [178], [181], [188], [192], [193], [195], [197], [199]-[202] Gazebo + RViz [1],…”

Section: Simulator Typementioning

confidence: 99%

“…In the automotive realm, the push towards autonomous driving and complex path planning [2], [58], [60], [62], [65] epitomises the evolution of mobility, redefining our transportation paradigms. Meanwhile, the healthcare sector's diversification into autonomous wheelchairs, automation inside long-term care facilities, and medication delivery [24], [31], [96]- [98], [103], [105] underscores a compassionate application of technology aimed at enhancing human lives. The versatility of WMRs in sectors like "Warehouse and Logistics," "Agriculture," and "Rescue and Disaster Response" showcases the adaptability of AI methodologies.…”

Section: A Rq1: What Are the Application Areas Facilitated By Ai-driv...mentioning

confidence: 99%

See 2 more Smart Citations

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Kargar,

Yordanov,

Harvey

et al. 2024

IEEE Access

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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.

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