Papers
2
Total Citations
13
H-Index
2
About
Jiahui Gao is a robotics researcher specializing in trajectory optimization, hybrid locomotion, and the control of articulated robotic systems. Their work focuses on advancing wheel-legged robots, which combine the efficiency of wheeled motion with the terrain adaptability of legged locomotion. Gao’s key contributions include the development of a safe trajectory generation framework for wheel-leg hybrid mechanisms using discrete mechanics and optimal control—a method that ensures stability and energy efficiency across varied terrains. This work, published in 2023, has already garnered 7 citations, highlighting its early impact in the field. Additionally, Gao has explored simulation and trajectory optimization for articulated robots through spectral variational integrators (2024, 6 citations), offering novel approaches to high-fidelity motion planning. Their research bridges theoretical mechanics and practical robotics, enabling more robust and autonomous systems. Gao’s achievements reflect a commitment to solving real-world challenges in mobile robotics, making their work essential reading for students and researchers interested in optimal control, hybrid locomotion, and computational dynamics.
Research Focus
Key Achievements
Top Papers
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