Advancing Scientific Exploration with AI-Powered Sensing and Robotics

Scientific exploration is rapidly evolving, with an emphasis on data collection methods that offer real-time, precise insights derived from field surveys at scale. This talk will discuss AI-powered sensing devices and robotic platforms that operate in various physical environments. We will examine the diverse range of edge AI algorithms developed to optimally utilize the underlying compute and sensing hardware, capabilities of which can vary by 6 orders of magnitude depending on the use-case. Through case-studies, including scalable coastal marine surveys for blue carbon accounting, we will illustrate how these technologies enhance the scalability, accuracy, and timeliness of data collection and scientific insight formulation. The presentation will also touch on generative AI models that improve user interaction with advanced technology. Tools based on advanced sensing, robotics, and AI are poised to become essential components of the future scientific toolkit.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.15293641
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
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article

Advancing Scientific Exploration with AI-Powered Sensing and Robotics

Zenodo (CERN European Organization for Nuclear Research)
Underwater Vehicles and Communication Systems
article

Advancing Scientific Exploration with AI-Powered Sensing and Robotics

article en

Abstract

Scientific exploration is rapidly evolving, with an emphasis on data collection methods that offer real-time, precise insights derived from field surveys at scale. This talk will discuss AI-powered sensing devices and robotic platforms that operate in various physical environments. We will examine the diverse range of edge AI algorithms developed to optimally utilize the underlying compute and sensing hardware, capabilities of which can vary by 6 orders of magnitude depending on the use-case. Through case-studies, including scalable coastal marine surveys for blue carbon accounting, we will illustrate how these technologies enhance the scalability, accuracy, and timeliness of data collection and scientific insight formulation. The presentation will also touch on generative AI models that improve user interaction with advanced technology. Tools based on advanced sensing, robotics, and AI are poised to become essential components of the future scientific toolkit.

Zenodo (CERN European Organization for Nuclear Research)
Commonwealth Scientific and Industrial Research Organisation (AU)
Life below water
Openalex Percentile: Top 56%
Underwater Vehicles and Communication Systems
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