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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

311
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
311

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Updated: Jun 29, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Data-driven Shape Sensing of Continuum Dexterous Manipulators Using Embedded Capacitive Sensor.

Qihang Li1, Wenpeng Wang1, Joshua Liu1

  • 1Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.

Proceedings of IEEE Sensors. IEEE International Conference on Sensors
|April 5, 2024
PubMed
Summary
This summary is machine-generated.

We developed inexpensive embedded capacitive sensors (ECS) for Continuum Dexterous Manipulators (CDMs). These sensors offer a cost-effective alternative to Fiber Bragg Grating (FBG) sensors for shape sensing applications.

Keywords:
capacitive sensingcontinuum dexterous manipulatorsshape estimation

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Area of Science:

  • Robotics
  • Sensor Technology
  • Embedded Systems

Background:

  • Continuum Dexterous Manipulators (CDMs) require accurate shape sensing for effective control.
  • Existing Fiber Bragg Grating (FBG) sensors are costly and sensitive to temperature variations.
  • There is a need for low-cost, robust shape sensing solutions for CDMs.

Purpose of the Study:

  • To propose and evaluate a novel, inexpensive embedded capacitive sensor (ECS) for shape sensing in CDMs.
  • To address limitations of current FBG sensors, focusing on cost and temperature sensitivity.
  • To demonstrate the feasibility of ECS for real-time shape feedback and control.

Main Methods:

  • Development of an inexpensive embedded capacitive sensor (ECS) prototype.
  • Calibration of ECS using a vision-based system and a recurrent neural network (RNN).
  • Evaluation on a 3D-printed, cable-driven CDM prototype with multiple markers.

Main Results:

  • The ECS system achieved a 6.6% tip position error, normalized to the CDM's length.
  • The calibrated ECS data accurately reflected the manipulator's shape.
  • Successful computation of tip angle and position using data from three ECSs.

Conclusions:

  • Embedded capacitive sensors (ECS) show early feasibility for shape sensing in CDMs.
  • ECS offers a promising, cost-effective alternative to FBG sensors.
  • Further improvements can enhance ECS performance for advanced CDM applications.