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ICRA 2009

Two-dimensional, vision-based muN force sensor for microrobotics

Conference Paper Novel Sensing, Actuation, and Control Techniques in Microrobotics Artificial Intelligence · Robotics

Abstract

We present a two-dimensional, vision-based force sensor, capable of sensing muN level forces. There are currently no reliable, off-the-shelf, commercially-available force sensors to measure forces at this scale, that can be easily integrated into standard microrobotic test-beds. Our design consists of a planar, elastic mechanism with known force-deflection characteristics. A CCD camera is used to track the deformation of the mechanism as it is used to manipulate objects in a micro/meso-scale robotic manipulation test-bed. By observing the displacements of select points in the mechanism, the manipulation forces can be estimated. The modeling, design, microfabrication, calibration and experimental validation of the force sensor are presented with a brief discussion of an application to a robotic manipulation tasks such as microassembly.

Authors

Keywords

  • Force sensors
  • Testing
  • Robot sensing systems
  • Current measurement
  • Force measurement
  • Measurement standards
  • Charge coupled devices
  • Robot vision systems
  • Charge-coupled image sensors
  • Cameras
  • Force Sensor
  • CCD Camera
  • Microfabrication
  • Robot Manipulator
  • Sensor Calibration
  • Displacement Of Point
  • Mechanical Point
  • Elastic Mechanics
  • Prototype
  • Material Properties
  • Young’s Modulus
  • Finite Element
  • Atomic Force Microscopy
  • Finite Element Analysis
  • Compression Tests
  • Direction Of Force
  • Design Space
  • Low Stiffness
  • Stiffness Values
  • Range Of Forces
  • Tetrabutylammonium Fluoride
  • Force-distance Curves
  • Contact Stiffness
  • Indentation Tests
  • Wet Etching
  • Displacement Data
  • Point Tracking
  • Node Of Interest
  • Commercial Products
  • Image Frames

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
983111573273949694
v2026.09.13