Willy John Nakamura Goto
Papers
3
Total Citations
15
H-Index
2
About
Willy John Nakamura Goto is an emerging researcher specializing in robust control systems, mobile robotics, and intelligent control theory. His work centers on the challenging problem of coordinating multiple autonomous wheeled mobile robots in dynamic, uncertain environments — a critical frontier in modern robotics research. Goto's most significant contributions lie in the development and refinement of Adaptive Immune Fuzzy Quasi-Sliding Mode Control (AIFQSMC) frameworks, which elegantly combine sliding mode theory with fuzzy logic and biological immune system-inspired algorithms to achieve robust performance under real-world uncertainties and disturbances. His research addresses both trajectory tracking and multi-robot formation control using the leader–follower strategy for nonholonomic differential-drive robots, incorporating obstacle avoidance capabilities that bring his solutions closer to practical deployment. Publishing multiple works in 2024, Goto has quickly accumulated 15 citations across his papers, demonstrating immediate interest from the robotics and control systems communities. His integration of PD dynamic controllers with kinematic sliding mode frameworks represents a thoughtful bridge between theoretical rigor and engineering applicability. For students and researchers exploring autonomous mobile robotics, robust control, or swarm coordination, Goto's growing body of work offers innovative methodologies and promising directions for future investigation.
Research Focus
Key Achievements
Top Papers
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