Dedong Yang

Papers

Total Citations

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About

Dedong Yang is a researcher specializing in the control and coordination of nonholonomic mobile robots, with a particular focus on energy optimization and target tracking. His work addresses fundamental challenges in multi-robot systems and pursuit-evasion scenarios. In his most cited paper (2019, 5 citations), Yang introduced a distributed event-triggered optimization algorithm for multiple nonholonomic wheeled mobile robots, aiming to minimize global battery energy consumption by coordinating robots based on their individual cost functions related to hand position states. This contribution is significant for extending the longevity of multi-robot teams in field applications. Earlier, Yang developed a novel persistent tracking algorithm for a single nonholonomic robot pursuing a dynamic target (2014, 2 citations), integrating a pan-tilt camera system for real-world experimental validation. This work advanced the practical implementation of pursuit-evasion game theory. While his citation counts are modest, Yang’s research lays important groundwork for energy-aware and perception-driven robot control, offering valuable insights for students and researchers interested in distributed optimization, nonholonomic systems, and autonomous tracking in resource-constrained environments.