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Mechanical multiaxis force sensor for directly bridging sensing and fluidic actuation.

Zhexin Xie1,2,3, Kelu Yu4, Peiyi Wang1

  • 1Department of Mechanical Engineering (ME), National University of Singapore, 117575, Singapore.

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Researchers developed a fluidic soft force sensor (ME-SOFS) that mimics reactive robotic systems. This sensor directly links force detection to actuation, simplifying robot control and enabling new haptic applications.

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Area of Science:

  • Robotics
  • Materials Science
  • Fluid Mechanics

Background:

  • Robots rely on sensors and actuators for operation, often using complex control loops.
  • Reactive architectures offer robust and efficient sensorimotor control by directly linking sensing to actuation.
  • Existing systems may require significant computational resources and external energy input.

Purpose of the Study:

  • To introduce a novel fluidic-based multiaxis mechanical soft force sensor (ME-SOFS) as a mechanical analogy for reactive systems.
  • To demonstrate a system that directly couples sensory signals with fluidic actuation, eliminating external computation.
  • To enable soft robots with advanced somatosensory force sensing capabilities.

Main Methods:

  • Development of a fluidic-based multiaxis mechanical soft force sensor (ME-SOFS).
  • Utilizing fluid transduction to convert applied force into mechanical output for fluidic actuators.
  • Integration of the ME-SOFS into robotic systems for sensing and actuation.

Main Results:

  • The ME-SOFS directly couples sensory input with fluidic actuation, removing the need for external computation or energy.
  • Demonstrated applications include directional droplet manipulation, controlled bending of cilia arrays, and enhanced robotic grasping learning via haptic feedback.
  • The system successfully realized multiaxis force sensing for soft robots.

Conclusions:

  • Fluidic approaches can enable simplified, closed sensing-actuation loops for soft robots.
  • The ME-SOFS technology facilitates the development of robots with enhanced somatosensory capabilities.
  • This work paves the way for advanced haptic human-machine interfaces and more intuitive robotic control.