Chaochao Zheng
South China University of Technology, China Railway Group (China)
Papers
2
Total Citations
5
H-Index
2
About
Chaochao Zheng is a researcher whose work bridges industrial robotics and autonomous driving, with a focus on efficient simulation and real-time perception systems. Their most cited paper, "Efficient Collision Detection for Industrial Robot Simulation System" (2015), tackles a fundamental challenge in manufacturing automation—enabling faster, safer robot path planning in virtual environments. Though modest in citation count, this work laid groundwork for practical collision avoidance in industrial settings. More recently, Zheng contributed to "A Tracking-By-Detection Based 3D Multiple Object Tracking for Autonomous Driving" (2022), addressing the critical need for robust multi-object tracking in dynamic driving scenes. This research integrates detection and tracking pipelines, a key step toward reliable autonomous navigation. While early in their career, Zheng’s work demonstrates a clear trajectory from simulation-based safety in robotics to perception-driven autonomy, reflecting a versatile engineering mindset. Their contributions, though not yet widely cited, address pressing real-world problems in automation and mobility, signaling potential for future impact in both fields.
Research Focus
Key Achievements
Top Papers
- 1Efficient Collision Detection for Industrial Robot Simulation System3 citations · 2015
- 2