Junpeng Shao
Papers
9
Total Citations
97
H-Index
5
About
Junpeng Shao is a robotics researcher whose work centers on the locomotion, control, and mechanical design of quadruped robots, with particular expertise in hydraulic actuation systems. Over the past decade, Shao has made substantial contributions to understanding how legged robots navigate complex terrains, summarized most prominently in his widely cited 2019 survey "Survey of Quadruped Robots Coping Strategies in Complex Situations" (34 citations), which has become a key reference for researchers entering the field. His 2018 review of gait control strategies for hydraulic quadruped robots (18 citations) further established him as an authority on motion planning for this demanding robot class. Beyond surveys, Shao has pursued hands-on engineering challenges: developing advanced joint controllers that integrate active disturbance rejection control with optimization algorithms, designing parallel cylinder transmission systems for heavy-duty platforms, and proposing virtual spring-damping models to suppress body disturbances during locomotion. His more recent work explores intelligent path planning through improved ant colony optimization algorithms. Spanning hardware design, control theory, and algorithmic optimization, Shao's research collectively advances the reliability and real-world applicability of quadruped robots in demanding environments such as disaster response, mining, and planetary exploration.
Research Focus
Key Achievements
Top Papers
- 1Survey of Quadruped Robots Coping Strategies in Complex Situations34 citations · 2019
- 2Recent Advances on Gait Control Strategies for Hydraulic Quadruped Robot18 citations · 2018
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- 5Recent Patents on Omni-Directional Wheel Applied on Wheeled Mobile Robot6 citations · 2016
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- 7Joint Torque Control of Hydraulic Quadruped Robot4 citations · 2015
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