News Summary: Researchers Develop Adaptive Sliding Mode Controller for Pneumatic Artificial Muscles

Key Points:

• Pneumatic artificial muscles (PAMs) mimic human muscle mechanics and are utilized in human-robot interaction systems.
• Controlling the trajectory performance of PAM-based systems is difficult due to their nonlinear characteristics.
• Researchers have developed an adaptive sliding mode controller that incorporates fuzzy logic to estimate parameters of PAM-based systems.
• This new controller offers improved tracking accuracy and adaptability compared to traditional control methods.

Hot take:

Looks like researchers have found a way to give artificial muscles a little more oomph! With the development of an adaptive sliding mode controller that uses fuzzy logic, PAM-based systems can now have enhanced tracking accuracy and adaptability. No more floppy robot limbs! This breakthrough brings us one step closer to achieving seamless human-robot interaction. Get ready for some seriously impressive robotic movements!

Original article: https://www.sciencedaily.com/releases/2023/08/230821114355.htm