Shao-Ting Wei

Papers

Total Citations

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About

Shao-Ting Wei is a roboticist whose research focuses on enabling service robots to intelligently interact with cluttered, human-centric environments. His work bridges the critical gap between perception and manipulation, particularly in scenarios where robots must operate under severe physical constraints. Wei’s most notable contribution is a novel object search planner for mobile robot manipulators, which tackles the challenge of locating occluded targets in confined spaces like shelves or cupboards—a problem fundamental to higher-level service tasks. This work, published in 2015, has garnered 20 citations for its practical approach to planning under limited viewpoints. Complementing this, his 2014 study on grasping unknown objects introduced a depth gradient feature method using an eye-in-hand RGB-D sensor, enabling robots to successfully pick up everyday items from tables without prior models. With 13 citations, this work addresses the persistent challenge of robotic interaction in unstructured domestic settings. Wei’s research is characterized by its direct applicability to real-world service robotics, offering elegant solutions to the perceptual and planning hurdles that prevent robots from seamlessly assisting in daily life. His contributions are essential reading for those developing autonomous systems for home and warehouse environments.