Papers
3
Total Citations
15
H-Index
3
About
Shuai Cheng is a robotics researcher whose work focuses on intelligent navigation, trajectory control, and path planning for autonomous mobile and service robots. His key contributions lie in developing algorithms that enable robots to navigate complex, dynamic environments with greater safety and efficiency. In his most cited work, "Real-time obstacle avoidance using subtargets and Cubic B-spline for mobile robots" (2014, 8 citations), Cheng introduced a method that combines subtarget generation with smooth B-spline curves to produce collision-free paths in real-time, addressing a critical challenge in highly dynamic settings. He further advanced autonomous navigation with a self-tuning PID controller based on a radial basis function neural network (2013, 4 citations), enhancing trajectory tracking accuracy for service robots. Additionally, Cheng explored bio-inspired optimization by incorporating chaos theory into a small-world algorithm for robot path planning (2012, 3 citations), demonstrating improved optimization performance. His work bridges practical control systems with novel computational intelligence, offering valuable solutions for real-world robotic applications.
Research Focus
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Top Papers
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