⏩ Volume 21, Issue No.3, 2023 (ISR)
Development of Autonomous Mobile Robots for Industrial Logistics with Deep Learning Algorithms for Real-Time Decision Making

This paper discusses the development of autonomous mobile robots designed for industrial logistics. The robots leverage deep learning algorithms for real-time decision-making, enabling them to navigate and transport goods efficiently within complex and dynamic industrial environments.

Michael David Clarke, Emily Anne Thompson, Daniel Joseph Miller, Sarah Claire Adams, William Anthony Harris

Paper ID: 52321301
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AI-Enhanced Robotic Systems for Environmental Monitoring and Disaster Response Using Real-Time Sensor Data Analysis

This paper presents AI-enhanced robotic systems for environmental monitoring and disaster response. By integrating real-time sensor data analysis, these robots can efficiently assess hazardous environments, make informed decisions, and execute tasks such as search-and-rescue operations and environmental data collection in emergency scenarios.

Daniel Thomas Green, Olivia Victoria Johnson, Andrew Brian Walker, Maria Christina Scott, Lucas James Davis

Paper ID: 52321302
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Autonomous Robotics in Smart Agriculture for Precision Farming and Crop Management Using Machine Learning Techniques

This study explores autonomous robotics in smart agriculture, focusing on precision farming and crop management. Using machine learning techniques, robots can monitor crops, analyze soil conditions, and optimize irrigation, leading to more sustainable farming practices and enhanced productivity in the agricultural sector.

Thomas Robert Hayes, Olivia Mae Wilson, Matthew Joseph Phillips, Rachel Elizabeth Young, Emma Claire Evans

Paper ID: 52321303
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Robotic Systems for Search and Rescue Missions Using AI and Computer Vision for Real-Time Obstacle Detection and Navigation

This paper investigates the use of robotic systems for search-and-rescue missions, employing AI and computer vision for real-time obstacle detection and navigation. The system aims to improve the effectiveness and safety of rescue operations by allowing robots to autonomously navigate complex and hazardous environments.

Christopher John Walker, Hannah Claire Davis, David Michael Robinson, Amelia Victoria Jackson, Joseph Nathaniel Thompson

Paper ID: 52321304
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AI-Based Autonomous Robots for Industrial Automation and Fault Detection in Critical Infrastructure Systems Using Real-Time Analytics

This paper discusses the use of AI-based autonomous robots in industrial automation, focusing on fault detection in critical infrastructure systems. Real-time analytics allow these robots to identify potential failures before they occur, improving the reliability and safety of industrial operations.

John Thomas Clark, William David Harris, Rachel Sophia Moore, Claire Olivia King, Luke Michael Anderson

Paper ID: 52321305
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