Sun Qinpeng

Papers

Total Citations

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About

Sun Qinpeng’s research centers on advancing autonomous navigation for mobile robots, with a particular focus on path tracking control and path planning in complex environments. His most cited work, "Path Tracking Control of Wheeled Mobile Robot Based on Improved Pure Pursuit Algorithm" (2019, 29 citations), addresses a critical limitation of the classic Pure Pursuit algorithm—its sensitivity to preview distance—by proposing an enhanced version that significantly improves tracking accuracy. This contribution has been recognized as a practical solution for real-world wheeled robot control. In a complementary study, "Path Planning of Mobile Robot Based on RRT in Rugged Terrain" (2018, 7 citations), Sun tackles the challenge of three-dimensional path planning by extending the Rapidly-exploring Random Tree (RRT) algorithm to handle uneven, rugged terrains. His improved RRT method establishes a 3D environment model, enabling safer and more efficient navigation in complex outdoor settings. Though early in his career, Sun’s work demonstrates a clear trajectory toward solving fundamental problems in mobile robotics, blending algorithmic innovation with practical applicability. His research is particularly valuable for students and engineers working on field robotics, autonomous vehicles, and off-road navigation systems.