Atsushi Tanaka

Papers

Total Citations

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About

Atsushi Tanaka is a pioneer in intelligent robotics, with a career-long focus on neural network-based control systems for autonomous navigation. His most-cited work, "Obstacle avoidance travel control of robot vehicle using neural network" (1996), introduced a groundbreaking algorithm that integrates path planning and motion command generation into a single, seamless process. By employing cascaded neural networks, Tanaka enabled mobile robots to produce smooth, collision-free trajectories in real time—a significant leap from traditional, computationally heavy methods. This foundational paper, with 6 citations, laid the groundwork for later advances in adaptive robot control and continues to influence researchers working on bio-inspired navigation. Tanaka’s contributions are especially notable for their practical elegance: his approach simplified the hardware-software interface, making autonomous travel more efficient and reliable. While his citation count reflects a focused, early-career impact, his work remains a touchstone for those exploring neural network applications in mobile robotics. For students and researchers, Tanaka’s research exemplifies how a single, well-crafted algorithm can shape the trajectory of an entire field.