Upon loading, soft structures can undergo large yet reversible deformations. Their mechanical responses are in general more complex than conventional constructions due to geometric nonlinearities. Traditionally structures are designed to avoid these nonlinearities. By contrast, in this project, we want to harness and tame these more complex behaviors, with the aim of embedding functionalities and intelligence within the structural body of robots that are made from soft materials.
The proposed approach consists of investigating the rich mechanical responses that emerge from assemblies of basic 3D-printed mechanical units, that serve as building blocks, each characterized by a fundamental nonlinear behavior, such as softening, stiffening or unstable. In particular, we believe that mechanical units exhibiting typical snap-through instabilities are the key ingredients to attain advanced functions. For example, snapping building blocks placed in series display a sequential hysteresis under cyclic loading that might be exploited to build locomotion patterns.
In this project we are developing a method that enables to simulate and explore numerically how 1D and 2D assemblies of units behave under cyclic loading to identify assemblies with promising characteristics for locomotion. In parallel, soft mechanical units will be manufactured by 3D=-printing and assembled to design a soft robot able to walk and even perform advanced tasks, without requiring a central brain.
With this project, we envision to demonstrate the potential of nonlinear mechanics in generating actuation sequences and other types of functionalities, thereby uncovering fundamental principles on how intelligence and control can be embodied in robotic applications by only using a few purely-mechanical components.
dr. ir. Overvelde (Soft Robotic Matter Group)
E-mail: [email protected]
Phone: +31 (0)20-754 7100
You can respond to this vacancy online via the button below.
Please annex your:
– Resume;
– 1-page motivation letter;
– List of followed courses plus grades.
Applications will be evaluated on a rolling basis and as soon as an excellent match is made, the position will be filled.
Online screening may be part of the selection.
AMOLF is highly committed to an inclusive and diverse work environment. Hence, we greatly encourage candidates from any personal background and perspective to apply.
Commercial activities in response to this ad are not appreciated.
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