Unmanned delivery robots and personalized delivery methods enhance the delivery experience.

Abstract

This invention proposes an unmanned delivery robot and a method for personalized delivery experiences using this robot. The technical solution utilizes machine learning and reinforcement learning with a multi-objective reward function to predict and optimize delivery options based on historical data. The solution includes storing address data, performing a standard first delivery, training a model to predict the optimal choice (stop location, interaction, payment), and continuous updating. The robot is configured with sensor hardware, data processing, and reinforcement learning modules to perform automatically, aiming to reduce downtime, improve user satisfaction, and optimize operations. The invention is applicable in the logistics and e-commerce sectors, offering higher efficiency compared to existing automated delivery systems.

Images