Flapping Flight

Flapping Flight

Research focus

Exploring bio-inspired flight through fluid dynamics, simulation, and aerial robotics.

Flapping flight provides a highly efficient and agile locomotion strategy observed in insects and small flying organisms. Research in this area integrates fluid dynamics, computational modelling, experimental analysis, and aerial robotics to investigate the aerodynamic and control principles underlying bio-inspired flight systems.

Key topics

  • Flapping aerodynamics
  • Aerial robotic systems
  • Fluid–structure interaction
  • Flight control
  • Computational simulation
Olfactory Navigation

Olfactory Navigation

Research focus

Exploring insect-inspired navigation through behavioural experiments, plume dynamics, and autonomous robotics.

Olfactory navigation studies how biological organisms locate and track odour sources in complex environments. Research combines insect behavioural experiments, plume dynamics analysis, computational simulation, and robotic validation to investigate navigation strategies inspired by biological sensing systems.

Key topics

  • Insect navigation behaviour
  • Odour plume dynamics
  • Bio-inspired sensing
  • Autonomous navigation
  • Behavioural modelling
Computational Intelligence

Computational Intelligence

Research focus

Developing computational frameworks for modelling, control, and data-driven engineering systems.

Computational intelligence research applies modelling, machine learning, and optimisation techniques to analyse complex engineering systems and accelerate scientific workflows. Current work focuses on integrating data-driven methods with simulation, control, and intelligent system design.

Key topics

  • Machine learning
  • Data-driven modelling
  • Computational optimisation
  • Scientific computing
  • Intelligent control systems
Robotic Systems

Robotic Systems

Research focus

Developing robotic systems inspired by biological principles and adaptive behaviours.

Robotic systems research focuses on the design and integration of autonomous platforms across aerial, ground, and underwater environments. Current work combines bio-inspired mechanics, embedded sensing, and control strategies to develop adaptive and environmentally interactive robotic systems.

Key topics

  • Biomimetic robotics
  • Autonomous platforms
  • Embedded sensing
  • Adaptive control
  • Robot system integration