Bio-inspired Navigation
Animals navigate reliably with tiny energy budgets. We borrow their strategies for robots.
Why it matters
Teach-and-repeat lets a robot retrace a route it was shown once, using only a camera. Our bio-inspired approach is fast and robust, we have paired it with robust control, and it now runs on event cameras for high-speed, low-latency route following. Continuous attractor networks, modelled on the brain’s grid and head-direction cells, let us track trajectories across multiple scales, and threshold adaptation in spiking networks enables shortest-path finding and place disambiguation.
Team
Members of my group at the QUT Centre for Robotics and close collaborators.
Lead
Michael MilfordCollaborator
Former PhD student
Former postdoc
PhD student
Former postdoc
Alejandro FontanCollaborator
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