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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Human-robot collaboration has significant potential in recycling due to thewide variation in the composition of recyclable products. Six participantsperformed a recyclable item sorting task collaborating with a robot armequipped with a vision system. The effect of three different levels of humaninvolvement or assistance to the robot (Level 1- occlusion removal; Level 2-optimal spacing; Level 3- optimal grip) on performance metrics such as robotaccuracy, task time and subjective fluency were assessed. Results showed thathuman involvement had a remarkable impact on the robot's accuracy, whichincreased with human involvement level. Mean accuracy values were 33.3% forLevel 1, 69% for Level 2 and 100% for Level 3. The results imply that forsorting processes involving diverse materials that vary in size, shape, andcomposition, human assistance could improve the robot's accuracy to asignificant extent while also being cost-effective.

Effect of Human Involvement on Work Performance and Fluency in Human-Robot Collaboration for Recycling