Papers
2
Total Citations
11
H-Index
2
About
Tuo Xia is a researcher in humanoid robotics, with a focus on locomotion and gait planning for complex environments. His work centers on optimizing bipedal walking on uneven terrain, including slopes and stairs, to enhance robot stability and adaptability. In his most-cited paper, "Multi-objective optimization for a humanoid robot walking on slopes" (2011, 8 citations), Xia introduced a novel method that parameterizes the walking process on slopes using the SCUT-I humanoid robot and an inverted pendulum model (IPM). This approach allows for multi-objective optimization of hip and ankle trajectories, improving balance and efficiency. His related study, "Gait Planning of Humanoid Robots Walking on Stairs" (2011, 3 citations), extends this work to stair navigation, addressing the challenges of step transitions and varying heights. Though his citation counts are modest, Xia’s contributions are foundational for developing more versatile humanoid robots capable of navigating real-world terrains. His research bridges theoretical gait planning with practical implementation, offering insights for students and engineers aiming to advance bipedal locomotion in robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-objective optimization for a humanoid robot walking on slopes8 citations · 2011
- 2Gait Planning of Humanoid Robots Walking on Stairs3 citations · 2011