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 presents an overview and comparative analysis of our systemsdesigned for the following two tracks in SAPIEN ManiSkill Challenge 2021:  No Interaction Track: The No Interaction track targets for learning policiesfrom pre-collected demonstration trajectories. We investigate both imitationlearning-based approach, i.e., imitating the observed behavior using classicalsupervised learning techniques, and offline reinforcement learning-basedapproaches, for this track. Moreover, the geometry and texture structures ofobjects and robotic arms are exploited via Transformer-based networks tofacilitate imitation learning.  No Restriction Track: In this track, we design a Heuristic Rule-based Method(HRM) to trigger high-quality object manipulation by decomposing the task intoa series of sub-tasks. For each sub-task, the simple rule-based controllingstrategies are adopted to predict actions that can be applied to robotic arms.  To ease the implementations of our systems, all the source codes andpre-trained models are available at\url{https://github.com/caiqi/Silver-Bullet-3D/}.

Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation