Exploring Deep Space and Deep Ocean with AI Guidance
Offered By: Strange Loop Conference via YouTube
Course Description
Overview
Explore the challenges and advancements in AI-guided exploration of deep space and deep ocean environments in this 40-minute conference talk from Strange Loop. Delve into the complexities of data collection, autonomous decision-making, and scientific return in extreme environments like the ocean floor and Mars. Learn about cutting-edge data acquisition techniques such as Raman spectroscopy and Laser Induced Breakdown Spectroscopy (LIBS), and understand their importance in advancing ML/AI capabilities. Discover the role of remote sensing in maximizing information return during missions to distant celestial bodies like Europa. Gain insights into the balance between scientific objectives, safety concerns, and technological limitations in extreme environment exploration. Examine real-world applications through discussions of Mars Exploration Rovers, ocean concept testing, and future space missions. Understand the critical role of AI advancements in overcoming challenges related to signal latency, autonomous navigation, and instrument awareness in these hostile environments.
Syllabus
EXPLORING DEEP SPACE AND DEEP OCEAN WITH AI GUIDANCE
OUTLINE
IMPOSSIBLE SENSING TECHNOLOGY
SPECTROSCOPY
MOTIVATION-EXPLORATION
MOTIVATION-AIADWANCEMENT
MARS EXPLORATION ROVER
MER ENTRY DESCENT & LANDING
CURIOSITY
PERSEVERANCE
RUTURE ROVERAI
SPACE CHALLENGES
RUTURE SPACE MISSIONS
OCEAN CONCEPT TESTING
OCEAN EXPLORATION-VIPER
CONCLUSIONS
IMPOSSIBLE SENSING TEAM
REFERENCES
Taught by
Strange Loop Conference
Tags
Related Courses
Sensing Planet Earth – Water and IceChalmers University of Technology via edX Sensing Planet Earth – From Core to Outer Space
Chalmers University of Technology via edX Earth Observation from Space: the Optical View
European Space Agency via FutureLearn Introduction to Remote Sensing
Indian Institute of Technology Roorkee via Swayam Introduction to Urban Geo-Informatics
Hong Kong Polytechnic University via edX