Guang Deng

Changsha University of Science and Technology

Papers

Total Citations

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About

Guang Deng is a researcher specializing in mobile robotics, with a focus on simultaneous localization and mapping (SLAM), multi-robot coordination, and swarm intelligence. His work addresses critical challenges in autonomous navigation and formation control, particularly for indoor and large-scale robotic systems. In his 2019 study on SLAM for mobile robots, Deng integrated lidar and odometer data under the Robot Operating System (ROS) to enhance indoor mapping and path planning, achieving 3 citations for its practical contributions to particle filter-based localization. That same year, he advanced multi-robot formation control by proposing a two-layer nearest neighbor information (TNNI) consensus algorithm, which overcomes scalability limitations in large robot swarms—a problem that hinders real-world deployment in complex tasks. This work, also garnering 3 citations, demonstrates his ability to bridge theoretical consensus protocols with distributed robotic systems. Deng’s research is notable for its focus on real-time, resource-efficient solutions, making his contributions valuable for students and engineers working on autonomous fleets, warehouse logistics, or search-and-rescue operations. His publications reflect a commitment to solving practical robotics problems through algorithmic innovation.