Implementation of an VSLAM Algorithm on KubeEdge

[JoeyHwong-gk]

Background:

KubeEdge SIG Robotics is interested in developer toolkits to build robot applications in an easy-to-use way.
Based on this goal, we planning to build some open-source frameworks of application developing, including RoboSDK, a cloud robotics application development suite.
Based on this project, developers can quickly build sensor-interactive, data interaction, and task orchestration for cloud-robot collaboration.
We expect to develop a Vison SLAM application with the open source projects from kubeedge/sig-robotics in a simulation environment, and complete the following tasks:

• The edge applications will be required to implement data collection and feature extraction in the simulation environment, send the data to cloud server for map creation.
• The edge applications will be required to use the map from cloud server to complete the tasks: path planning and navigation.

Output Requirements:

1. Demo deployment and usage guide.
2. Code and configuration files .
3. End-to-end test cases.

Other information:

KubeEdge: https://github.com/kubeedge;
KubeEdge SIG Robotics: https://github.com/kubeedge/community/tree/master/sig-robotics
KubeEdge Examples: https://github.com/kubeedge/examples
ROS: https://www.ros.org/blog/getting-started/
Gazebo & Turtlebot: https://emanual.robotis.com/docs/en/platform/turtlebot3/manipulation/#turtlebot3-with-openmanipulator