Dilong Chen

Papers

Total Citations

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About

Dilong Chen is a researcher specializing in robotics, control systems, and autonomous navigation, with a particular focus on mobile robot path planning and wireless sensor network localization. His work addresses critical challenges in enabling robots to operate effectively in unknown or dynamic environments. Chen’s most cited paper, “Receding horizon control of mobile robots for locating unknown wireless sensor networks” (2018, 7 citations), introduces a two-level control framework that combines decision-making and real-time control to guide a robot in discovering and localizing sensor networks without prior knowledge of their positions. This approach has practical implications for search-and-rescue, environmental monitoring, and industrial automation. In another influential study, “A method for solving local minimum problem of local path planning based on particle swarm optimization” (2017, 5 citations), Chen proposes an innovative algorithm that uses a virtual robot concept to navigate around obstacles, effectively overcoming the local minima trap common in gradient-based planners. By integrating swarm intelligence with obstacle-edge traversal, his method enhances robustness in cluttered settings. Though his citation counts are modest, Chen’s contributions represent thoughtful, applied advances in autonomous navigation, offering practical solutions to persistent problems in robotics and control.