Junlong Guo
Papers
23
Total Citations
400
H-Index
13
About
Junlong Guo is a versatile robotics researcher whose work spans two compelling domains: terramechanics for planetary exploration rovers and intelligent agricultural robotics. His most influential contributions center on understanding how wheeled mobile robots interact with deformable terrains — a critical challenge for Mars and lunar exploration missions. Through rigorous experimental and theoretical work, Guo has developed sophisticated models characterizing wheel-soil interactions, including steering mechanics, sinkage dynamics, linear normal stress under skid conditions, and real-time terrain parameter estimation. These foundational contributions, accumulating tens of citations each, have meaningfully advanced the field of space robotics and terramechanics. More recently, Guo has demonstrated impressive breadth by tackling agricultural automation challenges, leading the development of an autonomous citrus-harvesting robot (2023, 48 citations) that addresses growing labor shortages in fruit production — his most-cited work to date. His research portfolio also encompasses teleoperation of wheeled robots under dynamic slippage conditions and SLAM-based vision system calibration, reflecting his systems-level thinking across perception, mobility, and autonomy. Collectively, his publications demonstrate a researcher who bridges fundamental physical modeling with practical robotic deployment, making meaningful contributions to both space exploration and precision agriculture.
Research Focus
Key Achievements
Top Papers
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- 4An Apparatus to Measure Wheel–Soil Interactions on Sandy Terrains30 citations · 2018
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- 7Teleoperation of Wheeled Mobile Robot With Dynamic Longitudinal Slippage27 citations · 2022
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- 10SLAM-Based Self-Calibration of a Binocular Stereo Vision Rig in Real-Time23 citations · 2020