Yingchong Ma

Papers

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About

Yingchong Ma is an emerging researcher specializing in autonomous robotics, with a focused expertise in last-mile delivery systems and socially aware robot navigation. Their work addresses some of the most pressing real-world challenges in deploying autonomous ground robots in complex, unstructured urban environments — particularly the intricate problem of navigating sidewalks safely alongside pedestrians. Ma's most notable contribution, "Vision Based Sidewalk Navigation for Last-Mile Delivery Robot" (2022, 12 citations), demonstrates a systematic approach to overcoming critical obstacles such as narrow motion corridors, dynamic appearance changes, and unreliable GPS signals beneath tree canopies — conditions that routinely defeat conventional localization methods. Building on this foundation, their 2024 multi-modal socially aware navigation framework (5 citations) pushes the frontier further, integrating pedestrian behavior understanding with traversability analysis to enable robots to operate safely in crowded environments. Collectively, Ma's research bridges computer vision, motion planning, and human-robot interaction, making meaningful strides toward practical, deployable delivery robotics. For students interested in autonomous systems and urban mobility, Ma's work offers both rigorous technical depth and compelling real-world applicability in a rapidly growing field.