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 describes a strategy for implementing a robotic system capable ofperforming General Purpose Service Robot (GPSR) tasks in robocup@home. The GPSRtask is that a real robot hears a variety of commands in spoken language andexecutes a task in a daily life environment. To achieve the task, we integratefoundation models based inference system and a state machine task executable.The foundation models plan the task and detect objects with open vocabulary,and a state machine task executable manages each robot's actions. This systemworks stable, and we took first place in the RoboCup@home Japan Open 2022'sGPSR with 130 points, more than 85 points ahead of the other teams.

Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots