Dajin Wang

Papers

Total Citations

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About

Dajin Wang is a researcher whose work lies at the intersection of parallel computing, robotics, and motion planning. His key research areas include reconfigurable mesh architectures, collision-free path computation, and motion planning under physical constraints. Wang's most significant contribution is the development of a linear-time algorithm for computing collision-free paths on reconfigurable meshes (2008, 6 citations), which represents an efficient approach to robotic path planning in obstacle-laden environments. He further advanced this field by exploring parallel computation of configuration spaces on reconfigurable meshes with faults (2002, 3 citations), demonstrating how RMESH architectures can effectively process robot and obstacle images to expand obstacles for non-point-like robots. Earlier in his career, Wang investigated motion planning with acceleration constraints (1990, 2 citations), developing a graph-based approach that reduces reachability problems to path existence in space-time with rectangular obstacles, velocity limits, and deadlines. While his citation counts are modest, Wang's work represents foundational contributions to parallel computation methods for robotic path planning, particularly in leveraging reconfigurable mesh architectures to solve complex spatial reasoning problems efficiently.