Madoka Asai

Papers

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About

Dr. Madoka Asai is a robotics researcher whose work focuses on intelligent control systems for mobile robots, particularly in challenging sensing environments. Her most-cited paper, "Neural network trajectory tracking of tracked mobile robot" (2019, 18 citations), addresses a fundamental problem in robotics: how to achieve precise trajectory tracking with minimal, low-fidelity sensors. In this study, Asai proposes an online neural network controller for a tracked mobile robot equipped with only three binary sensors—devices that return only 0 or 1 signals. Despite this severe sensory limitation, her approach enables effective position estimation and trajectory following, demonstrating the power of neural networks to compensate for poor hardware. This work is notable for its practical implications in cost-sensitive or harsh environments where high-quality sensors are impractical. Asai's contributions lie at the intersection of neural network control, mobile robotics, and sensor-limited systems, offering innovative solutions that expand the capabilities of autonomous robots. Her research is particularly valuable for students and engineers working on robust control in real-world conditions, where sensor noise and constraints are common challenges.