Photorealistic Robotic Simulation using Unreal Engine 5 for Agricultural Applications

TL;DR

This paper introduces a photorealistic agricultural robotics simulation environment based on Unreal Engine 5, demonstrating high rendering accuracy and precise robot positioning for improved agricultural image data generation.

Contribution

The study presents a novel UE5-based simulation platform for agriculture that combines realistic rendering with accurate robot positioning, enhancing data quality for agricultural robotics.

Findings

UE5 achieves high rendering realism for plant images

Positional accuracy with 0.021mm average error in multi-robot setup

Effective integration with ROS for agricultural applications

Abstract

This work presents a new robotics simulation environment built upon Unreal Engine 5 (UE5) for agricultural image data generation. The simulation utilizes the state-of-the-art real-time rendering engine to provide realistic plant images which are often used in agricultural applications. This study showcases the rendering accuracy of UE5 in comparison to existing tools and assesses its positional accuracy when integrated with Robot Operating Systems (ROS). The results indicate that UE5 achieves an impressive average distance error of 0.021mm when compared to predetermined setpoints in a multi-robot setup involving two UR10 arms.