Digital Twin-Based Interactive Robotic Arm System For Skill Training New Joinees

DOI

10.2991/978-94-6239-693-7_46How to use a DOI?

Keywords

Digital Twin; Control of a robot arm by means of Unity 3D simulation; ESP32; UDP communication; Wireless Robotics; Engineering Education

Abstract

Digital twin technology will allow better control of robots since it allows to synchronise physical with virtual versions of systems in order to minimise risk associated with hardware and enhance experimental flexibility. In the traditional robotic arm programming, fixed kinematic models are used, and data is communicated through wire, which restricts the flexibility and scalability with the dynamic environment. This paper suggests a digital twin consisting of a Unity 3D simulation environment and a 5-DOF robotic arm, which is con- trolled through UDP communication over Wi-Fi and operated with a Unity 3D that is inexpensive and inexpensive to interact with directly. A PCA9685 controller makes MG995 high-torque servos run on the physical system to achieve stable multi-joint actuation. Latency tests reveal an average delay of 32 ms in the process of synchronization when using wireless networks of consumer grade, which ensures the motion mapping is smooth in both directions. Con- trolled validation intertwines sound real time performance applicable to engineering teaching and experimental prototyping. The platform offers an affordable alternative to the costly industrial digital twin platform with future capability of being connected with reinforcement learning and adaptive control strategies.

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  - P. S. Aadhith Sheshu
AU  - N. Tejash
AU  - N. D. Nishok
AU  - G. Nareshbabu
PY  - 2026
DA  - 2026/06/16
TI  - Digital Twin-Based Interactive Robotic Arm System For Skill Training New Joinees
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 472
EP  - 485
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_46
DO  - 10.2991/978-94-6239-693-7_46
ID  - Sheshu2026
ER  -