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Titlebook: Soft Robotics: Trends, Applications and Challenges; Proceedings of the S Cecilia Laschi,Jonathan Rossiter,Laura Margheri Conference proceed

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Bio-inspired Soft Aerial Robots: Adaptive Morphology for High-Performance Flight,stness of robot operation. However, current aerial robots tend to have rigid body structures, and rely predominantly on abundant sensing and dynamic closed loop control to fly. In contrast, flying animals combine sensing and control with adaptive body designs, exploiting fluid dynamic and biomechani
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Design Principles for Soft-Rigid Hybrid Manipulators,the octopus, rigid and strong pincers of the crab and ligamentous jointed fingers of the human demonstrate the relationship between the complexity of a host’s task space and the design of its manipulator. Thus, the purpose of use a robotic manipulator should be considered as an important design para
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Soft Robot Modeling, Simulation and Control in Real-Time,ides the partial derivative equations that govern the deformations, and Finite Element Method (FEM) is used to compute numerical solutions adapted to the robot. A formulation based on Lagrange Multipliers is used to model the behavior of the actuators as well as the contact with the environment. Dir
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,Morphosis—Taking Morphological Computation to the Next Level,heir successful interaction with the environment. It is inspired by observations in nature where we can see that the morphology (i.e. the shape as well the dynamic properties of the body) of biological systems is playing a crucial role for the emergence of intelligent behavior. Although there are a
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