Embedded System Design and Implementation of a Humanoid Service Robot

Humanoid service robots typically possess facial expressions, body movements, and speech communication abilities similar to humans. These capabilities enable them to communicate more naturally with human users and provide various services. Therefore, humanoid robot systems should not only have control systems but also have multi-modal functional systems. The control system needs to address robot joint driving. The modal system needs to implement various modal functions of the robot, such as visual, auditory, natural language processing, etc. This paper proposes a distributed design architecture for a humanoid service robot embedded system, offering a novel approach to building a specific robot platform system. This is achieved through constructing prototypes and conducting experiments on modal functions and body movements.

I. Introduction

With the rapid advancement of artificial intelligence technology, robots have acquired better perception, decision-making, and execution capabilities through advanced algorithms and learning techniques, particularly in computer vision and natural language processing (NLP), greatly enhancing their perceptual abilities [1]. These abilities enable robots to better understand and interpret data from their environment, such as identifying objects, faces, gestures, and voice commands [2]. Such progress not only allows them to respond more flexibly and intelligently to diverse environments and tasks but also enables robots to play a role in various service sectors, such as customer service, caregiving, and home assistance. Consequently, humanoid service robots have demonstrated significant potential in manufacturing, healthcare, and services, improving production efficiency, reducing costs, and creating safer and more convenient work and living environments for people [3].