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Grant: Collaborative Research and Development Grants

Concordia University

$76,000.00

Machine learning for planetary rover applications

FY 2018-19

Summary
This research program studies space robots, and their ability to traverse challenging planetary terrains. As robotic space exploration targets more and more extreme terrains on the Moon and Mars an accurate understanding of how robots can recognize and predict risks improves chances of success. The entrapment of the Mars Exploration Rover Spirit in soft soil and the tears and punctures in the Mars Science Laboratory Curiosity rover's wheels demonstrate some of the current challenges of roving on Mars that this research will address.*The goal of this research is to make advances in artificial intelligence to produce better-informed risk analysis for rovers. In addition to addressing current challenges, this research also opens new opportunities for space exploration. Advanced rovers able to drive on steeper sandy slopes, for example, open exploration to a significant number of new craters and mountains. Efficient planning of robot routes can get more out of power-starved space missions.*These areas of research will help maintain Canada's global leadership in space robotics, which provides the economy with a supply of high-tech jobs and inspires the next generation of Canadians to pursue science and engineering. The development of AI technology for space robotics will lead to significant socio-economic impact in Canada by training highly qualified personnel, attracting and retaining outstanding talent in Canada, further strengthening the AI ecosystem in Canada, creating new employment or entrepreneurship opportunities, and creating new revenue streams for the use of data in space exploration space industry.*
Program
Collaborative Research and Development Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
520713-2017
Name nom
Skonieczny, Krzysztof
Department département
Electrical and Computer Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
76000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Partie
1
Nb partie
2
Application title
Machine learning for planetary rover applications
Keyword
NSERC
Application summary
This research program studies space robots, and their ability to traverse challenging planetary terrains. As robotic space exploration targets more and more extreme terrains on the Moon and Mars an accurate understanding of how robots can recognize and predict risks improves chances of success. The entrapment of the Mars Exploration Rover Spirit in soft soil and the tears and punctures in the Mars Science Laboratory Curiosity rover's wheels demonstrate some of the current challenges of roving on Mars that this research will address.*The goal of this research is to make advances in artificial intelligence to produce better-informed risk analysis for rovers. In addition to addressing current challenges, this research also opens new opportunities for space exploration. Advanced rovers able to drive on steeper sandy slopes, for example, open exploration to a significant number of new craters and mountains. Efficient planning of robot routes can get more out of power-starved space missions.*These areas of research will help maintain Canada's global leadership in space robotics, which provides the economy with a supply of high-tech jobs and inspires the next generation of Canadians to pursue science and engineering. The development of AI technology for space robotics will lead to significant socio-economic impact in Canada by training highly qualified personnel, attracting and retaining outstanding talent in Canada, further strengthening the AI ecosystem in Canada, creating new employment or entrepreneurship opportunities, and creating new revenue streams for the use of data in space exploration space industry.*
Concordia University - $76,000 Grant (2018-19) | Canada Spends