Zhao Cheng

Papers

Total Citations

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About

Zhao Cheng is a leading researcher in autonomous navigation and mobile robotics, with a focus on developing intelligent, adaptive path planning systems. His most cited work, “A local path planning algorithm based on improved dynamic window approach” (2023, 9 citations), tackles a critical trade-off in real-world robot motion: balancing safety and speed in cluttered, dynamic environments. Cheng’s key contribution is the parameter-adaptive DWA algorithm (PA-DWA), which dynamically adjusts planning parameters in response to obstacle density, allowing robots to maintain higher velocities without compromising collision avoidance. This innovation directly addresses the limitations of traditional fixed-parameter approaches, offering a more robust solution for applications ranging from warehouse automation to service robotics. Though early in his career, Cheng’s work has already garnered attention for its practical impact, demonstrating how adaptive control can enhance both efficiency and reliability in autonomous systems. His research continues to push the boundaries of real-time motion planning, making him a promising voice in the field of intelligent robotics.