6G Multimodal AI for Robotic Lawn Mowers

Purpose and goal

The project aims to develop a 6G-enabled AI platform that enhances robotic lawn mowers using multimodal sensor inputs, including sound, IMU, and computer vision. The goal is to improve real-time obstacle avoidance, energy efficiency, and autonomous navigation. Husqvarna provides an experimental AI-enhanced mower for validation. The project advances 6G by optimizing distributed intelligence and low-latency AI processing for autonomous robotic systems.

Expected effects and result

The project will deliver AI models that enhance robotic lawn mower autonomy using multimodal data, improving obstacle avoidance and navigation. Results include optimized AI workflows for resource-efficient processing on 6G-connected IoT devices. The project contributes to safer, smarter, and more sustainable autonomous systems, with findings applicable beyond lawn mowers to broader robotics and smart city applications.

Planned approach and implementation

The project develops AI models using multimodal data from sound, IMU, and computer vision, optimized for real-time processing on robotic mowers. A 6G connection enables computation offloading, allowing resource-intensive tasks to be processed in the cloud while maintaining low-latency decision-making on the device. Husqvarna’s AI-enhanced mower will validate performance in real-world conditions, optimizing obstacle avoidance, efficiency, and distributed intelligence.