Makoto Saen
Papers
2
Total Citations
27
H-Index
2
About
Makoto Saen is a leading researcher in robotic manipulation and tactile sensing, whose work focuses on enabling intuitive, human-friendly control for dexterous robotic hands. His key research areas include action-intention-based human-robot interaction, multi-processor control architectures, and high-resolution tactile sensor integration. Saen’s most notable contribution is the development of a grasp control method that combines optical-mechanical tactile sensing with fine finger-force adjustment, allowing non-professional users to easily handle objects of varying weight and hardness. This work, published in 2014, has garnered 24 citations and represents a significant step toward practical home-use manipulation systems. In parallel, Saen pioneered a scalable robotic-hand control system based on a hierarchical multi-processor architecture, which eliminates performance bottlenecks when integrating large numbers of tactile sensors. This design, though less cited, demonstrates his commitment to solving real-world engineering challenges in sensor-rich robotics. Through these contributions, Saen has advanced the field of robotic dexterity, making sophisticated manipulation accessible to everyday users and paving the way for more responsive, adaptive robotic assistants.
Research Focus
Key Achievements
Top Papers
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