Soft robots are often inspired from biological systems which consist of soft materials or are
actuated by electrically activated materials. There are several advantages of soft robots …

Recent research in embodied AI has been boosted by the use of simulation environments to
develop and train robot learning approaches. However, the use of simulation has skewed …

Traditional road testing of autonomous vehicles faces significant limitations, including long
testing cycles, high costs, and substantial risks. Consequently, autonomous driving …

Obtaining an accurate mechanical model of a soft deformable robot compatible with the
computation time imposed by robotic applications is often considered an unattainable goal …

In 1994, Karl Sims' evolved virtual creatures showed the potential of evolutionary algorithms
to produce natural, complex morphologies and behaviors [30]. One might assume that …

We present the automated design and manufacture of static and locomotion objects in which
functionality is obtained purely by the unconstrained 3-D distribution of materials. Recent …

The technological differences between traditional robotics and soft robotics have an impact
on all of the modeling tools generally in use, including direct kinematics and inverse models …

Evolutionary robotics Page 1 74 communications of the acm | august 2013 | vol. 56 | no. 8
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …

The modeling of soft structures, actuators, and sensors is challenging, primarily due to the
high nonlinearities involved in such soft robotic systems. Finite element modeling (FEM) is …

Designing soft robots poses considerable challenges; automated design approaches may
be particularly appealing in this field, as they promise to optimize complex multimaterial …