Papers
45
Total Citations
661
H-Index
12
About
Shuai Guo is a robotics researcher whose work spans industrial automation, human-machine interfaces, and construction robotics — fields where his contributions have collectively garnered over 440 citations. His foundational work introduced a calibration-based iterative learning control (ILC) method for industrial robot path tracking, earning 159 citations and establishing him as a key voice in precision motion control. Guo has made significant strides in mobile robotics, developing omni-directional mobile industrial systems for aerospace manufacturing — complete with Mecanum-wheel mobility, vision-based navigation, and reflector-based localization — while also advancing wheeled manipulator stability optimization and slip analysis for demanding manufacturing environments. His research extends into human-robot interaction, with a widely cited 2023 review examining surface electromyography (sEMG) techniques for prosthetics, assistive devices, and rehabilitation. More recently, Guo has turned his attention to construction robotics, authoring influential reviews on 3D printing robots and autonomous mobile construction robots that reflect the field's rapid digitalization. Bridging aerospace manufacturing precision, human-centered robotics, and smart construction, Guo's career represents a broad yet cohesive vision for intelligent robotic systems across complex real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Review of sEMG for Robot Control: Techniques and Applications60 citations · 2023
- 3Robotics technologies aided for 3D printing in construction: a review49 citations · 2021
- 4
- 5Vision Based Navigation for Omni-directional Mobile Industrial Robot33 citations · 2017
- 6
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- 8
- 9Optimization of a Mobile Platform for a Wheeled Manipulator20 citations · 2016
- 10Slip Analysis for a Wheeled Mobile Manipulator20 citations · 2017