English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Docking is a fundamental requirement for a mobile robot in order to be able to interact with objects in its environment. In this paper we present an algorithm and implementation for a special case of the docking problem for ground-based robots. We require the robot to dock with a fixated environment point where only visual information is available. Specifically, camera pan/tilt information is unknown, as is the direction of motion with respect to the object and the robot's velocity. Further, camera calibration is unavailable. The aim is to minimise the difference between the camera optical axis and the robot heading direction. This constitutes a behaviour for controlling robot direction based on fixation. This paper presents a full mathematical derivation of the method and implementation used. In its most general form, the method requires partial segmentation of the optical flow field. The experiments presented, however, assume partial knowledge as to whether points are closer to the camera than the fixation point or further away. There are many scenarios in robotic navigation where such assumptions are typical working conditions. We examine two cases: convex objects; and distant background/floor. The solution presented uses only the rotational component of optical flow from a log-polar sensor. Results are presented with real image and ray-traced image sequences. The robot is controlled based on a single component of optical flow over a small portion of the image, and thus is suited to real-time implementation.

Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow