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Daniel Gibbons

Daniel Gibbons
Higher Degree by Research Candidate
MPhil Candidate
School of Electrical and Electronic Engineering
Faculty of Engineering, Computer and Mathematical Sciences

I'm currently using machine learning to produce experimental controllers for multi-agent systems. These controllers support advanced features such as dynamic task allocation, synchronised arrivals at destinations, and multi-objective path planning.

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External Profiles

Daniel Gibbons

I'm currently using machine learning to produce experimental controllers for multi-agent systems. These controllers support advanced features such as dynamic task allocation, synchronised arrivals at destinations, and multi-objective path planning.

Appointments

Date Position Institution name
2018 Cadet Research Scientist Defence Science and Technology Group

Education

Date Institution name Country Title
2018 - 2020 University of Adelaide, Adelaide Australia Master of Philosophy
2015 - 2017 University of Adelaide, Adelaide Australia Bachelor of Mathematical and Computer Sciences

Research Interests

Position
MPhil Candidate
Campus
North Terrace
Building
Engineering & Maths Sciences Building, floor 2
Room Number
2 11J
Org Unit
School of Electrical and Electronic Engineering

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