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

This paper introduces a novel approach for the grasping and precise placementof various known rigid objects using multiple grippers within highly clutteredscenes. Using a single depth image of the scene, our method estimates multiple6D object poses together with an object class, a pose distance for object poseestimation, and a pose distance from a target pose for object placement foreach automatically obtained grasp pose with a single forward pass of a neuralnetwork. By incorporating model knowledge into the system, our approach hashigher success rates for grasping than state-of-the-art model-free approaches.Furthermore, our method chooses grasps that result in significantly moreprecise object placements than prior model-based work.

Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers