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HuBotVerse: Toward Internet of Human and Intelligent Robotic Things With a Digital Twin-Based Mixed Reality Framework

September 10, 2025 by Dandan Zhang, Ziniu Wu, Jin Zheng, Yifan Li, Zheng Dong, Jialin Lin

Although the Internet of Robotic Things (IoRT) has enhanced the productivity of robotic systems in conjunction with the Internet of Things (IoT), it does not inherently support seamless human-robot collaboration. This paper presents HuBotVerse, a unified framework designed to foster the evolution of the Internet of Human and Intelligent Robotic Things (IoHIRT). HuBotVerse is advantageous due to its unique features, including security, user-friendliness, manageability, and its open-source nature. Moreover, this framework can seamlessly integrate various Human-Robot Interaction (HRI) interfaces to facilitate collaborative control between humans and robots. Here, we emphasize a Digital Twin-Based Mixed Reality (MR) interface, which enhances teleoperation efficiency by offering users an intuitive and immersive way to interact. To evaluate the effectiveness of HuBotVerse, we conducted user studies based on a pick-and-place task.

For more about this article see link below.

https://ieeexplore.ieee.org/document/10654327

For the open access PDF link of this article please click here.

Filed Under: Features Tagged With: Collaboration, Digital twins, Human-robot interaction, Intelligent robots, Internet of Things, Physical layer, Productivity, Robot sensing systems, Sensors

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IEEE Robotics & Automation Magazine (RAM) has over 14,000 readers who are the people who drive this remarkable technology. More than half work in basic research and many of the others are top level engineers and decision-makers in industry.  This magazine highlights new concepts in Robotics and Automation that are applied to real-world systems. It delivers tutorial and survey papers by distinguished experts in the field, organizes focused special issues on hot topics, and provides a forum for disseminating and discussing emerging trends, novel achievements, and selected news relevant to the development of the whole community active in these fields worldwide.

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IEEE Robotics & Automation Magazine  publishes four issues per year: March, June, September and December.