Yuhi UCHINO
Papers
1
Total Citations
2
H-Index
1
About
Yuhi Uchino is a robotics researcher specializing in bipedal locomotion and nonlinear control systems. His work centers on generating energy-efficient walking patterns for humanoid robots through advanced model predictive control techniques. Uchino's most cited paper, "Limit cycles generation for energy-efficient bipedal walking via nonlinear model predictive control" (2025), introduces a novel method that leverages NMPC to create stable limit cycles without relying on strong feedback mechanisms like output zeroing control. This approach reduces energy consumption while maintaining robust gait stability, addressing a critical challenge in legged robotics. With 2 citations already in a short time, his work is gaining recognition for its potential to improve the autonomy and endurance of bipedal robots. Uchino's contributions are particularly relevant for researchers exploring efficient locomotion in unstructured environments, and his innovative use of NMPC for limit cycle generation marks a significant step forward in the field of dynamic walking control.
Research Focus
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Top Papers
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