In this episode we focus on chaos control and ways to generate
unpredictable behaviour. Our first guess, Poramate Manoonpong is
a research associate at the Bernstein Center for Computational
Neuroscience in Göttingen, Germany where he studies ways to make
an insect like robot get out of tricky situations by generating
chaotic input to a central pattern generator (CPG) in charge of
the robot’s gait. We then speak with Alex Pitti from the
University of Tokyo about chaos controllers that can synchronise
to the dynamics of the body they are controlling, thus creating
more complex behaviours while at the same time simplifying the
controller. Poramate Manoonpong is a Thai research associate who
works at the Bernstein Center for Computational Neuroscience,
University of Goettingen, Germany. He is currently doing a JSPS
Postdoc fellowship at the Department of Brain Robot Interface in
Kyoto before returning to the University of Goettingen. His
recent work on Self-organized adaptation of a simple neural
circuit enables