| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 6 | |
| Section | Robotics, Autonomous Systems & Sensor Fusion | |
| DOI | https://doi.org/10.1051/itmconf/20258003013 | |
| Published online | 16 December 2025 | |
The evolution of robot-driven system from traditional driven system to intelligent flexible system
Guangzhou Foreign Language School, Guangzhou, 510000, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
As the core of robots, the drive system’s performance dictates robots’ mobility, adaptability and task efficiency. This article reviews the evolution of robot drive tech, from traditional motor drive to flexible drive based on smart materials and bionics, analyzing advantages, limitations and principles of various drive technologies. It summarizes operation modes of traditional motor, pneumatic and hydraulic drives, and principles of new drives like shape memory alloy, bionic drive, dielectric elastomer and pneumatic artificial muscle. Moreover, it introduces progress in cutting-edge areas: multimodal drive cooperative control optimizing motion synergy, human-machine interaction force perception enhancing operational safety, and extreme environment adaptability designs boosting durability. It also discusses technical bottlenecks such as material fatigue and energy loss, along with future trends like intelligent adaptive control. Currently, key research focuses on robots’ autonomous operation in extreme environments for high-precision tasks. The article offers theoretical references for interdisciplinary innovation, integrating biology and bionics to enhance robots’ movement and efficiency in specific environments.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

