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

We used ROS2 as a platform to conduct AI research for developing a Follow-Mecapability as a proof-of-concept on a wheeled robot, demonstrating that AIresearch is possible in the ROS2 framework. We developed a complete system thatuses perception and navigation components based on a sensor suite of fisheyecameras, lidar, and IMU running on an ARM64 Embedded Linux platform that runsROS2 natively. The perception package detects AR markers and/or IR beacons totrack a person. The tracker uses AI algorithms such as particle filters andnonlinear optimization to extract the SE(3) information of the 2D feature.

Follow Pedro! An Infrared-based Person-Follower using Nonlinear Optimization