Grant: Discovery Grants Program - Individual
York University
$46,000.00
High Performance, Intelligent and Efficient Robotic Systems: Performance Integration, Decomposition and System Hybridization
FY 2017-18
Summary
BACKGROUND: Robotics provides a transformative technology for manufacturing system in the 21st century. Effective use of robotics in manufacturing system is essential to future economic growth, job creation and global competitiveness. To meet the needs of the evolving manufacturing industry, robots must be faster, more accurate, better intelligence and more adaptable. RESEARCH PROGRAM: In this research program, new methodologies for better intelligence, more resilience and adaptive robotic systems will be developed, the relationship between robot accuracy and speed will be examined and optimized, and the issue of performances integration for robotic system will be explored and a better strategy to design and control such system for advanced manipulation will be developed. The proposed research program involves the combination of two new paradigms: Performance Integration and Decomposition (PID) and System Hybridization (SH). The PID paradigm indicates the integration of system performances in conjunction with the decomposition of their structures. Thus, PID provides a strategy for resolving an apparent contradiction: while design and control tends to divide the system into subsystems or components that fulfill multiple functions or constraints, the subsystems must work together to perform these multiple functions. Furthermore, SH improves the robotic system performance by implementing hybrid mechanisms, hybrid optimization, and hybrid actuation. The SH approach synergistically integrates components to maximize their complementary strengths and minimize their weaknesses. SIGNIFICANCE: The research can directly impact on the development of new theories and methodologies for next-generation robotic systems, which not only facilitate manufacturing but also promote other applications, such as robots for field rescue. The research will generate novel methodology for robotic system with better intelligence and resilience, and will bring economic benefits for the manufacturing industry by applying these new theories and methodologies. The results of the research program will provide a key insight for the development of higher performance robotic systems, and will positively impact the Canadian manufacturing economy by improving the performance and efficiency of many robotic products currently used in Canadian industries.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2016-05030
Name nom
Zhang, Dan
Department département
Engineering and Applied Science, Faculty of - Engineering and Applied Science, F
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2101
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Solid mechanics
Research subject fr
Mécanique des solides
Partie
2
Nb partie
5
Application title
High Performance, Intelligent and Efficient Robotic Systems: Performance Integration, Decomposition and System Hybridization
Keyword
NSERC
Application summary
BACKGROUND: Robotics provides a transformative technology for manufacturing system in the 21st century. Effective use of robotics in manufacturing system is essential to future economic growth, job creation and global competitiveness. To meet the needs of the evolving manufacturing industry, robots must be faster, more accurate, better intelligence and more adaptable. RESEARCH PROGRAM: In this research program, new methodologies for better intelligence, more resilience and adaptive robotic systems will be developed, the relationship between robot accuracy and speed will be examined and optimized, and the issue of performances integration for robotic system will be explored and a better strategy to design and control such system for advanced manipulation will be developed. The proposed research program involves the combination of two new paradigms: Performance Integration and Decomposition (PID) and System Hybridization (SH). The PID paradigm indicates the integration of system performances in conjunction with the decomposition of their structures. Thus, PID provides a strategy for resolving an apparent contradiction: while design and control tends to divide the system into subsystems or components that fulfill multiple functions or constraints, the subsystems must work together to perform these multiple functions. Furthermore, SH improves the robotic system performance by implementing hybrid mechanisms, hybrid optimization, and hybrid actuation. The SH approach synergistically integrates components to maximize their complementary strengths and minimize their weaknesses. SIGNIFICANCE: The research can directly impact on the development of new theories and methodologies for next-generation robotic systems, which not only facilitate manufacturing but also promote other applications, such as robots for field rescue. The research will generate novel methodology for robotic system with better intelligence and resilience, and will bring economic benefits for the manufacturing industry by applying these new theories and methodologies. The results of the research program will provide a key insight for the development of higher performance robotic systems, and will positively impact the Canadian manufacturing economy by improving the performance and efficiency of many robotic products currently used in Canadian industries.