IBVS

Image-Based Visual Servoing (IBVS) uses image-space features directly in the feedback loop.

Table of contents

  1. Core idea
  2. Typical advantages
  3. Typical challenges

Core idea

  1. Detect visual features in the image plane.
  2. Define image error relative to desired feature positions.
  3. Use an image Jacobian (interaction matrix) to compute camera/robot velocity commands.

Typical advantages

  • Directly uses image measurements
  • Less dependence on full 3D pose estimation
  • Effective for feature-tracking tasks

Typical challenges

  • Interaction matrix can become singular
  • Sensitive to feature loss and noise
  • May yield unintuitive Cartesian trajectories

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