Abstract
This article outlines the construction of universal, user-friendly smart robot
system for manipulation in a dynamic environment through AI-based vision
system which incorporates processing on the edge. To successfully perform
complex tasks in changing conditions, robots require both intelligence
for adaptive decision-making and the ability to accurately perceive the
environment and interface with it. The proposed system is built in a way
that maximizes the modularity of the system. And thus, improves the ease
at which the system can be modified to other specific goals after it has
been operationalized. In this work, these characteristics are achieved by the
use of synthetically generated data and Robot Operating System (ROS) as
a middleware software. The first results prove the feasibility of training
object detection networks on synthetically generated data sets. And also a
combination of a 3D camera and industrial robot provides a convenient way
for adding new objects to the database.
system for manipulation in a dynamic environment through AI-based vision
system which incorporates processing on the edge. To successfully perform
complex tasks in changing conditions, robots require both intelligence
for adaptive decision-making and the ability to accurately perceive the
environment and interface with it. The proposed system is built in a way
that maximizes the modularity of the system. And thus, improves the ease
at which the system can be modified to other specific goals after it has
been operationalized. In this work, these characteristics are achieved by the
use of synthetically generated data and Robot Operating System (ROS) as
a middleware software. The first results prove the feasibility of training
object detection networks on synthetically generated data sets. And also a
combination of a 3D camera and industrial robot provides a convenient way
for adding new objects to the database.
| Original language | German |
|---|---|
| Title of host publication | Artificial Intelligence for Digitising Industry |
| Chapter | 3.2 |
| ISBN (Electronic) | 9788770226639 |
| Publication status | Published - 1 Sept 2021 |