Abstract
Simultaneous structure/control optimisation in a
robotic system design is addressed through Genetic
Algorithms. Both aspects are here evolved in the same
algorithm through simulations for task oriented
evaluations. Moreover, a technique based on Genetic
Programming is proposed to generate approximated
evaluation functions. Its aim is to significantly speed
the design process up, while leading to robust
evaluation. A specific adaptation of these principles
is investigated for the design of hyper-redundant
robotic systems such as smart active endoscopes
intended for minimally invasive surgery. The design of
these micro-robots is based on a serial arrangement of
articulated rings with associated antagonist SMA
micro-actuators, whose configuration has to be adapted
to the surgical operation constraints. The control
strategies for an adaptation of the system geometry to
the environment are based on a multi-agent approach to
minimise the inter-module communication requirements.
The results obtained for the particular application of
colonoscopy show the consistency of the solutions.
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