Masahiro Wada
Papers
8
Total Citations
31
H-Index
4
About
Masahiro Wada is a robotics researcher whose work focuses on mobile robot navigation, control systems, and human-robot interaction, particularly in campus environments. His major contributions include developing detection methods for mobile objects using mixture probability density function models, which enable robots to safely navigate pedestrian-rich outdoor spaces—a critical capability for service robots in universities and shopping areas. He has also advanced the control and stabilization of inverted pendulum robots, notably the Segway RMP 200, which serves as the base for his group’s “KoRo” project. This robot has been deployed at the entrance hall of a university library to provide useful information to visitors, demonstrating practical human-robot interaction. Wada’s work on localization for the Segway RMP addresses sensor challenges caused by the robot’s tilting posture during movement. His research on formative behavior networks for biped robots explores motor development in control systems, while his involvement with DAQ-Middleware contributes to software frameworks for data acquisition. Although his citation counts are modest, his applied projects—such as the campus guiding robot—showcase real-world impact and educational value, making his work a foundation for students and researchers interested in mobile robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1Detection of Mobile Objects by Mixture PDF Model for Mobile Robots7 citations · 2012
- 2
- 3Guiding robot at entrance hall of university library5 citations · 2017
- 4Localization of Segway RMP5 citations · 2011
- 5
- 6Control functionality of DAQ-Middleware2 citations · 2014
- 7Detection of Mobile Objects for Outdoor Navigation Robots2 citations · 2012
- 8