This research program investigates how to reliably make autonomous decisions and control for robots in the presence of uncertainty. We are achieving this by advancing model-based filtering, estimation, detection, decision and planning techniques for robotic systems.
Our research questions include how to:
- design robotic systems capable of achieving specified performance outcomes in the presence of uncertainty
- detect anomalous system conditions in weak measurement environments
- characterise and manage network systems.
Projects
Team
Led by Professor Jason Ford.
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Komol Md Mostafizur Rahman
PhD Researcher
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Dr Aaron Mcfadyen
Lecturer
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Dr Christina Kazantzidou
Lecturer
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Prof Daniel Quevedo
Professor
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Prof Felipe Gonzalez
Professor
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Guilherme Fróes Silva
PhD Researcher
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Dr Jasmin Martin
Lecturer
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Prof Jason Ford
Program Lead (Decision & Control), Professor
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Jenna Riseley
Research Assistant
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Juan Sandino
PhD Researcher
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Dr Justin Kennedy
Research Associate
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Assoc Prof Luis Mejias Alvarez
Associate Professor
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Assoc Prof Saiful Karim
Associate Professor and the Leader of the Ocean Governance Research Group (OGRG)
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Dr Troy Bruggemann
Senior Lecturer
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Valtteri Kallinen
PhD Researcher
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Xiaolong Zhu
PhD Researcher