NEW TRENDS IN AUTONOMOUS ROBOTICS FOR ENVIRONMENTAL MONITORING

Authors

  • Dr. Ayesha Khan Department of Robotics and Artificial Intelligence, National University of Sciences and Technology (NUST), Islamabad, Pakistan.

Keywords:

Autonomous Robotics, Environmental Monitoring, Artificial Intelligence (AI), Machine Learning (ML), Environmental Sensors

Abstract

Environmental monitoring has become increasingly critical as global environmental challenges grow. Autonomous robotics is emerging as a promising solution for efficient and scalable environmental monitoring. With advancements in artificial intelligence (AI), machine learning (ML), and sensor technologies, autonomous robots are transforming the landscape of environmental science by enabling continuous data collection, real-time analysis, and remote operations. This article explores the latest trends in autonomous robotics for environmental monitoring, focusing on the integration of autonomous systems with advanced sensing and AI technologies. It reviews key innovations, applications, and challenges, offering a comprehensive overview of how autonomous robotics can address pressing environmental issues such as climate change, pollution, and biodiversity loss.

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Published

2024-01-31

Issue

Vol. 2 No. 1 (2024): The Nature

Section

Articles

License

Copyright (c) 2024 Dr. Ayesha Khan

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