Papers
16
Total Citations
278
H-Index
8
About
Yuansong Qiao is a leading researcher at the intersection of digital twin technology, sustainable eco-innovation, and intelligent robotics. His work is defined by two transformative pillars: advancing the digital transformation of peatland ecosystems through "Paludiculture" (his 2022 paper has garnered 122 citations), and pioneering human-robot interaction systems for smart manufacturing. Qiao’s research on digital twins, particularly his comparative studies of simulation platforms like Unity and Gazebo (2025, 21 citations), provides critical insights for Industry 4.0 lifecycle management. He has developed groundbreaking frameworks for telerobotic control via augmented reality (RoSTAR, 2020, 21 citations) and deep reinforcement learning for robotic pick-and-place in cluttered environments (2023, 18 citations). His work on enabling real-time human-robot collaboration through AR (2020, 15 citations) and multi-robot coordination using reinforcement learning (2022, 5 citations) directly addresses the challenges of future factories. With over 250 total citations, Qiao’s contributions are shaping how we build sustainable, automated, and human-centric industrial ecosystems.
Research Focus
Key Achievements
Top Papers
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- 3Comparative Study of Digital Twin Developed in Unity and Gazebo21 citations · 2025
- 4RoSTAR: ROS-based Telerobotic Control via Augmented Reality21 citations · 2020
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- 9Teleoperation of the industrial robot6 citations · 2022
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