Tong‐Ying Juang

Papers

Total Citations

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About

Tong-Ying Juang’s research focuses on the intersection of robotics, embedded systems, and safety-critical design, with key contributions in motion planning and system reliability. In his most cited work, “A fast path planning algorithm for piano mover's problem on raster” (2006, 7 citations), Juang introduced a near-optimal algorithm that efficiently navigates robots through obstacle-dense environments by expanding free workspace from a top-down view. This work addresses the classic piano mover’s problem, offering practical solutions for real-time robotic motion. His second notable paper, “Vulnerability Analysis and Risk Assessment for SoCs Used in Safety-Critical Embedded Systems” (2012, 4 citations), shifts focus to system-on-chip (SoC) reliability in intelligent automotive and robotic systems. Here, Juang analyzes how increasing SoC complexity introduces failure risks, proposing frameworks for rigorous safety assessment. While his citation counts are modest, his dual expertise in algorithmic path planning and hardware-level vulnerability analysis highlights a unique cross-disciplinary approach—bridging theoretical motion planning with practical embedded system safety. Juang’s work is particularly relevant for researchers developing autonomous systems that must balance computational efficiency with fail-safe operation in real-world, safety-critical environments.