Papers

6

Total Citations

16

H-Index

2

About

Tomoyuki Ohkubo is a robotics researcher whose work centers on intelligent mobile robot navigation, control, and rapid prototyping. His key contributions span quadruped locomotion, real-time path planning, and multi-robot coordination. In his most cited work, Ohkubo developed a stable trot gait control system for quadruped robots using an IMU sensor, enabling faster walking with reduced energy expenditure—a practical step toward more efficient legged locomotion. He also advanced mobile robot autonomy by introducing a real-time path planning algorithm that leverages omnidirectional image recognition, solving the time-consuming challenge of environment detection. Ohkubo’s impact includes pioneering visual odometry systems using omnidirectional cameras for urban environments, as well as a formation control algorithm for multiple mobile robots based solely on RSSI signals from wireless sensors. His work on seamless rapid prototyping with Docker containers demonstrates a commitment to bridging ROS and ROS2 systems for practical deployment. With papers accumulating citations across these areas, Ohkubo’s research is notable for its focus on real-world applicability, sensor integration, and scalable solutions—making his contributions valuable for students and researchers advancing autonomous robotics.

Research Focus

Key Achievements

2
H-Index
6
Papers
16
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Study of Trot Gait Control System of a Quadruped Robot Using IMU Sensor
4 citations · 2022
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Advanced Institute of Industrial Technology, Hosei University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago