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

We have proposed a new concept of "safety region" which we use to measure the position of the defense robots[5]. It is defined as a region that the teammate robot(s) can defend the goal when an opponent robot shoots the ball from the inside of the safety region while teammate robots are positioned according to their defense strategy. Since it is difficult to obtain the accurate safety region in a short time, we need an algorithm that computes an approximate safety region in real time. We proposed such algorithm in the previous paper[5]. However, the safety region obtained by the algorithm is not accurate enough. Therefore, in this paper, we propose an improved algorithm to compute the approximate safety region. We have achieved 95% accuracy and less than 1 msec of computation time, which is adequate for our RoboCup application. We also propose a defense strategy based on the safety region considering the positions of the opponent robots and the pass direction. The achieved results indicate accurate performance for determining the positions of the defense robots.

Robust Algorithm for Safety Region Computation and Its Application to Defense Strategy for RoboCup SSL