Papers
9
Total Citations
70
H-Index
4
About
Haoxiang Qi is a robotics researcher whose work centers on enabling humanoid robots to perform highly dynamic movements—particularly vertical jumping. His major contributions lie in developing optimization frameworks that integrate centroidal angular momentum control, whole-body kinematics, and impact absorption strategies. Qi’s most cited paper (2023, 36 citations) proposes an online optimization method for humanoid vertical jumping with CoP-guided angular momentum control and landing impact absorption, directly addressing the challenge of agility and environmental adaptation. He has also pioneered variable reduction ratio joint designs for legged robots, as seen in his 2021 work on one-legged jumping optimization (10 citations), and has explored bionic foot structures to reduce landing impact forces. His research extends to motion coordination using maximized joint power and a three-step trajectory optimization framework (2025) for high-dynamic jumps. Notably, Qi’s work bridges theoretical optimization with practical hardware design, including humanoid cushioning feet and leg mechanisms. With over 68 total citations across his most-cited papers, his research is foundational for advancing humanoid robot agility, with potential applications in disaster response and complex terrain navigation.
Research Focus
Key Achievements
Top Papers
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- 4Motion coordination for humanoid jumping using maximized joint power6 citations · 2021
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- 7Research and Design of a Humanoid Cushioning Foot for Robot Jumping2 citations · 2022
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