Tomohide Maeba
Papers
8
Total Citations
55
H-Index
4
About
Tomohide Maeba’s research centers on humanoid robotics, with a focus on dynamic bipedal walking, stability control, and manipulability. His major contributions include pioneering the concept of “Visual Lifting Stabilization,” a vision-based strategy that enhances walking stability by using visual feedback to prevent turnover—a departure from traditional ZMP-dependent methods. He also introduced the Dynamic Reconfiguration Manipulability index, which quantifies a humanoid’s ability to dynamically adjust its configuration while performing prioritized tasks, such as directing its gaze. Maeba’s work extends to force/position hybrid control with Lyapunov stability guarantees, and he has modeled walking, slipping, and turnover dynamics using the Newton-Euler method. His most-cited paper (15 citations) on dynamic reconfiguration manipulability has influenced subsequent research in humanoid motion planning. Collectively, his papers have garnered over 55 citations, reflecting his impact on legged locomotion and redundant robot control. Maeba’s innovative integration of vision and dynamics offers practical pathways toward more human-like, resilient walking in humanoid robots.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Reconfiguration Manipulability analyses of humanoid bipedal walking15 citations · 2013
- 2
- 3Visual Lifting stabilization of dynamic Bipedal Walking8 citations · 2011
- 4
- 5
- 6
- 7
- 8Energy efficiency rate optimization of bracing robot2 citations · 2011