A Comprehensive Study on Driving Strategies, Control Systems, and Interaction Methods of Intelligent Robotics: Exemplified by Industrial Robotic Arms

DOI

10.2991/978-94-6463-986-5_40How to use a DOI?

Keywords

Industrial Robotic Arm; Drive System; Control System; Human-Robot Interaction; Technological Evolution

Abstract

This study comprehensively examines the technological evolution of industrial robotic arms from the 1980s to 2025, analyzing key advancements in drive mechanisms, control systems, and human-robot interaction paradigms. Drive systems have progressed from bulky hydraulic actuators to high-efficiency servo motors and further to lightweight modular bionic drives, significantly improving energy efficiency and motion precision. Control architectures evolved from rigid pre-programmed sequences to adaptive AI-driven systems incorporating machine learning and real-time optimization. Human-robot interaction modes transitioned from offline programming to sophisticated multimodal interfaces integrating force feedback, computer vision, and emerging brain-computer interaction technologies, enabling seamless collaboration. Future development trends point toward composite drive systems, autonomous decision-making capabilities, and intuitive natural interfaces, supported by enabling technologies like digital twins and swarm intelligence. As fundamental enablers of smart manufacturing, robotic arms both reflect and drive industrial automation progress, with continued innovation promising to expand their applications across industries while fostering more efficient, flexible, and intelligent production ecosystems. The integration of these advancements is reshaping manufacturing paradigms and creating new possibilities for human-machine cooperation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chenxi Guo
PY  - 2026
DA  - 2026/02/18
TI  - A Comprehensive Study on Driving Strategies, Control Systems, and Interaction Methods of Intelligent Robotics: Exemplified by Industrial Robotic Arms
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 389
EP  - 402
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_40
DO  - 10.2991/978-94-6463-986-5_40
ID  - Guo2026
ER  -