Stiffening in Soft Robotics: A Review of the State of the Art

By Mariangela Manti, Vito Cacucciolo, Matteo Cianchetti. IEEE robotics & automation magazine, 2016

489 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Soft robotics: Technologies and systems pushing the boundaries of robot abilities (2016, methodology): “It was the first solution proposed in soft robotics, although others are used today, as reviewed in (32) and discussed in the next section.”
Control Strategies for Soft Robotic Manipulators: A Survey (2018, unknown): “(3) the wide range of design and actuation techniques, which makes each of these robots have unique properties (refer to Ref.(8) for a detailed review on design and actuation technologies for soft robots).”
Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators (2019, methodology): “An interesting solution would be to use variable stiffness mechanisms [33] to freeze the ma-”
Bio-inspired soft robotics: Material selection, actuation, and design (2018, background): “Pneumatic artificial muscles (PAMs) [67,68], fluidic elastomer actuators [69], PneuNets [20,21,70], PneuFlex [71]) are driven by compressed air or pressurized fluids to inflate elastomeric materials at positive pressures relative to ambient air [6,72].”
Controllable and reversible tuning of material rigidity for robot applications (2018, background): “Second, they enable controllable stiffness variation of mechanical structures of the robot [3].”