1. AI robotics for sustainable space exploitation
Professor Yang Gao FIET FRAeS
Professor of Space Autonomous Systems, Head of STAR LAB, Surrey Space Centre
Associate Dean (International), Faculty of Engineering & Physical Sciences
University of Surrey
@ENTER2020 Conference, Guildford, UK, January 2020
2. [1] Yang Gao, et. al., UK-RAS Network White Paper on Space Robotics & Autonomous Systems, 2018. https://www.ukras.org/wp-content/uploads/2018/10/UK_RAS_wp_Space_080518.pdf
AI enabled robotics will help diversify mobility and increase onboard autonomy for future space systems
Space AI Robotics “Roadmap”
3. Landscape in “Orbital” Scenario
Credit: ESA
Non-
cooperative
target
Credit: NASA
Cooperative target
Free-flying platform
Credit: Tohuku Uni
Pseudo-fixed platform
Credit: NASA
• Many on-orbit applications requiring advanced AI
robotics capabilities, in 2025-2035 timeframe.
• UK to position itself now to develop and
demonstrate relevant capabilities required.
• Mission focuses envisaged:
o Clean Space (debris removal)
o Satellite servicing
o On-orbit assembly / deployment
o Constellations
o Physical / topographical reconfiguration of satellites
for lifetime extension / mission adaptability
o Reduction of satellite costs
[1] Yang Gao, et. al., UK-RAS Network White Paper on Space Robotics & Autonomous Systems, 2018. https://www.ukras.org/wp-content/uploads/2018/10/UK_RAS_wp_Space_080518.pdf
4. Landscape in “Planetary” Scenario
Manufacturing, assembling (2030+):
Heterogenous robotic elements building infrastructure.
Sample Return (2020+)
Sample fetch rover exploring an unstructured terrain and
collecting subsurface samples.
In-Situ Resource Utilization, Moon Village, Commercial
Lunar Exploration (2030+)
Human-robot eco-system around south pole of the
Moon
[1] Yang Gao, et. al., UK-RAS Network White Paper on Space Robotics & Autonomous Systems, 2018. https://www.ukras.org/wp-content/uploads/2018/10/UK_RAS_wp_Space_080518.pdf