Alberto Noboru Miyadaira
Papers
2
Total Citations
10
H-Index
2
About
Alberto Noboru Miyadaira’s research lies at the intersection of robotics, dynamics, and motion planning, with a focus on legged locomotion and vertical jumping. His work addresses fundamental challenges in bipedal and multi-legged robot control, particularly how to generate stable, powerful jumps while managing joint torques and body dynamics. Miyadaira’s most-cited paper, “Squat Vertical Jump of a 3DOF Robot Leg over an Inclined Plane” (2018, 6 citations), introduces two novel approaches to model a robot leg’s jump on non-flat terrain, using joint torque profile approximation to predict ankle position and foot forces. This work is critical for enabling robots to adapt to uneven surfaces. His earlier study, “Robot’s Weight Distribution Influence on Angular Momentum Produced by a Standing Vertical Jump” (2016, 4 citations), examines how mass distribution affects angular momentum and torso stability during jumps—a key insight for reducing unwanted oscillations in real-time motion generation. Though his citation counts are modest, Miyadaira’s contributions are foundational for researchers working on dynamic legged robots, particularly in scenarios requiring precise torque control and terrain adaptability. His analytical methods provide a stepping stone for more robust, online jump planning in humanoid and quadruped robots.
Research Focus
Key Achievements
Top Papers
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