Articles tagged with Pneumatic Artificial Muscles
Researchers have created a method to control pneumatic artificial muscles with embedded bifurcation structures, which can generate diverse dynamics and patterns. This breakthrough enables robots to exhibit more adaptable and flexible movements, streamlining hardware and software development.
Researchers develop adaptive fuzzy sliding mode controller to estimate unknown parameters and control nonlinear PAMs, showing improved tracking accuracy and adaptability compared to traditional methods.
Researchers developed a new class of pneumatic artificial muscles (MAIPAMs) inspired by biological muscle-fiber arrays, enabling multiple-mode actuations like muscular hydrostats. The MAIPAMs have potential applications in soft robotics for tasks such as environment detection, object manipulation, and climbing.