Space Applications of Artificial Intelligence

  title={Space Applications of Artificial Intelligence},
  author={Steve Ankuo Chien and Robert Morris},
  journal={AI Mag.},
We are pleased to introduce the space application issue articles in this issue of AI Magazine. The exploration of space is a testament to human curiosity and the desire to understand the universe that we inhabit. As many space agencies around the world design and deploy missions, it is apparent that there is a need for intelligent, exploring systems that can make decisions on their own in remote, potentially hostile environments. At the same time, the monetary cost of operating missions… 

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Applications and Challenges of Artificial Intelligence in Space Missions

This paper surveyed the use of traditional AI techniques in various domains of space missions without delving into formal methods and addressed some crucial legal drawbacks that emanate from the reliance and use of AI in space.

On-board Automated Mission Planning for Spacecraft Autonomy: A Survey

A comprehensive survey on goal-based mission planning to increase the level of spacecraft autonomy by highlighting the automated mission planning, whose state of the art has not been deeply explored by other surveys on autonomous spacecraft.

Assessing the Potential of Qormino Processor for Embedded AI on Board a CubeSat

The QlevEr Sat mission aims at embedding a specifically designed pixel-wise classification algorithm on board a CubeSat, to process data directly and send only the relevant results to the ground station using the Teledyne Qormino QLS1046-Space processor.

Formal Knowledge Engineering for Planning: Pre and Post-Design Analysis

This chapter examines the state-of-the-art tools and methods of knowledge engineering for planning & scheduling (KEPS) in the context of an abstract design process for acquiring, formulating, and analyzing domain knowledge.

Connectors of smart design and smart systems

  • I. Horváth
  • Art
    Artificial Intelligence for Engineering Design, Analysis and Manufacturing
  • 2021
It has been found that smart design tends to manifest as a methodology of blue-printing smart systems and that smart systems will be intellectualized the enablers of implementation of smart design.

How Can Artificial Intelligence Help With Space Missions - A Case Study: Computational Intelligence-Assisted Design of Space Tether for Payload Orbital Transfer Under Uncertainties

A multi-objective optimal design for payload orbital transfer involving space tethers is proposed based on a computational intelligence-assisted design framework with the artificial wolf pack algorithm (AWPA).



MAPGEN: Mixed-Initiative Planning and Scheduling for the Mars Exploration Rover Mission

MAPGEN is the first AI-based system to control a space platform on another planet's surface and discusses the issues arising from combining these tools in this mission's context.

Activity Planning for the Mars Exploration Rovers

The adaptation of constraint-based planning and temporal reasoning to a mixed-initiative setting and the key technical solutions developed for the mission deployment of MAPGEN are described.

Autonomy in Space: Current Capabilities and Future Challenge

The range of autonomous behavior that is relevant and useful in space exploration is explored and the range of possible behaviors is illustrated by presenting four case studies in space-exploration systems, each differing from the others in the degree of autonomy exemplified.

Using Autonomy Flight Software to Improve Science Return on Earth Observing One

The Autonomous Sciencecraft Experiment enables the spacecraft to autonomously detect and respond to dynamic scientifically interesting events observed from EO-1’s low earth orbit.

A generalized timeline representation, services, and interface for automating space mission operations

A basic timeline representation that can represent a set of state, resource, timing, and transition constraints is described and a number of planning and scheduling systems designed for space applications are described and described how they do and do not map onto this timeline model.

S PIKE : Intelligent Scheduling of Hubble Space Telescope Observations

This paper describes the S PIKE system, a general framework for scheduling which has been developed by the Space Telescope Science Institute for NASA’s Hubble Space Telescope (HST). Efficient use of

AEGIS Automated Science Targeting for the MER Opportunity Rover

An overview of the AEGIS automated targeting capability is provided and how it is currently being used onboard the MER mission Opportunity rover is described.

Flight software issues in onboard automated planning: lessons learned on EO-1

This paper focuses on the onboard planner and scheduler CASPER, whose core planning engine is based on the ground system ASPEN, and discusses several of the issues encountered in preparing the planner for flight, including reducing the code image size, determining what data to place within the engineering telemetry packet, and performing long term planning.

Automatic detection of dust devils and clouds on Mars

Algorithms for detecting dust devils and clouds onboard Mars rovers achieve the accuracy required by planetary scientists, as well as the runtime, CPU, memory, and bandwidth constraints set by the engineering mission parameters.

Autonomous Spectral Discovery and Mapping Onboard the EO-1 Spacecraft

A series of overflights in which the spacecraft analyzes a scene and produces summary maps along with lists of salient features for prioritized downlink, which suits the limited computing resources of the EO-1 flight processor.