Wenzheng Li

Beijing University of Technology, Shenzhen Institute of Information Technology

Papers

Total Citations

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About

Wenzheng Li is a researcher whose work bridges theoretical computer science and practical engineering, with a primary focus on path planning algorithms and energy storage technologies. His most impactful contribution, "An Improved Dijkstra's Algorithm for Shortest Path Planning on 2D Grid Maps" (2019, 35 citations), addresses a fundamental challenge in robotics and autonomous systems: efficiently computing optimal paths from arbitrary starting positions to a single goal in partially-known, grid-based environments. This work is particularly valuable for multi-robot coordination and real-time navigation in constrained spaces. Li further explores computational efficiency in "Aggressive Heuristic Search for Sub-Optimal Solution on Path Planning" (2018, 2 citations), where he develops methods to trade optimality for speed—a critical consideration for time-sensitive applications in computer games and artificial systems. More recently, Li has ventured into materials science with "Flexible lithium-ion batteries: innovations in polymer electrolyte synthesis and structural engineering" (2025, 5 citations), demonstrating versatility by applying algorithmic thinking to the design of next-generation energy storage devices. This emerging work highlights his ability to tackle cross-disciplinary challenges, from optimizing robotic movement to engineering flexible power sources for wearable technology.