Yoshimasa Tada
Papers
1
Total Citations
5
H-Index
1
About
Yoshimasa Tada is a robotics researcher whose work centers on autonomous mobile robot control, with a particular focus on omni-directional platforms and multi-scale behavior planning. His most-cited paper, "Multi Time Scale Behavior Control Method for Autonomous Omni-Directional Mobile Robots" (2008, 5 citations), introduces a novel framework that addresses the complex challenge of motion planning by decomposing tasks—such as path planning, obstacle avoidance, and hazard prevention—across different time scales. This approach, grounded in virtual potential fields, enables robots to dynamically prioritize and execute behaviors, enhancing their autonomy and safety in real-world environments. While his citation count is modest, Tada's contribution lies in offering a structured, scalable solution to a fundamental problem in mobile robotics: balancing immediate reactive responses with long-term goal achievement. His work is particularly relevant for researchers developing robots for crowded or unpredictable settings, where efficient decision-making is critical. Tada’s method stands as a practical tool for advancing autonomous navigation, demonstrating how temporal decomposition can simplify complex control tasks.
Research Focus
Key Achievements
Top Papers
- 1