Hidemasa Goya
Papers
3
Total Citations
57
H-Index
2
About
Hidemasa Goya is a robotics researcher whose work focuses on energy-efficient motion control and resonance utilization in robotic systems. His key research areas include adaptive stiffness control, torque minimization, and dynamic task optimization for multi-joint and legged robots. Goya’s major contributions center on developing control strategies that leverage mechanical elastic elements with adjustable stiffness to reduce energy consumption and improve performance in robotic tasks. His 2013 paper on motion control with stiffness adaptation for torque minimization in multijoint robots, cited 28 times, presents a novel method for adaptively adjusting joint stiffness to minimize torque during motion. Similarly, his 2012 work on high-energy efficient pick-and-place tasks for SCARA robots, with 27 citations, demonstrates how adaptive elastic devices can reduce total energy in practical industrial applications by exploiting resonance. Goya also explored continuous jumping in legged robots using resonance-based control strategies, a notable achievement that highlights his focus on dynamic, energy-efficient locomotion. With a total of 57 citations across his top papers, Goya’s research offers valuable insights for students and researchers interested in robotics, energy efficiency, and adaptive control systems.
Research Focus
Key Achievements
Top Papers
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