Koyo Sato
Papers
2
Total Citations
6
H-Index
2
About
Koyo Sato is a researcher in robotics and force-based interaction systems, with a focus on contact event recognition and task completion in automated environments. Their work centers on interpreting force signals to enable robots to distinguish and respond to physical interactions with various objects—a critical capability for precision tasks like assembly and grinding. In their 2021 study, "A Force Recognition System for Distinguishing Click Responses of Various Objects" (4 citations), Sato introduced a technique that leverages common force response patterns—particularly the "click response"—across diverse objects to verify task completion. This approach simplifies robotic perception by identifying universal features in force signals. Building on this, their paper "Recognition of Contact Event Based on MFCC of Force Signals" (2 citations) proposed a novel method using Mel Frequency Cepstrum Coefficients (MFCC) to detect contact events from standard robot force sensors. Although early in their career, Sato’s contributions offer practical, sensor-efficient solutions for improving robotic dexterity and autonomy in industrial settings, laying groundwork for more adaptive and reliable automation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Recognition of Contact Event Based on MFCC of Force Signals2 citations · 2021