Papers
2
Total Citations
18
H-Index
2
About
Bing He is a robotics researcher whose work focuses on advanced control and optimization for robotic systems, particularly in formation control and manipulator kinematics. His most cited paper, "Varying gain MPC for consensus tracking with application to formation control of omnidirectional mobile robots" (2016, 9 citations), introduces a robust formation control algorithm that uses a tensor-product transformation model to solve complex nonlinear control problems for omnidirectional mobile vehicles. This work demonstrates how model predictive control can be made tractable for real-world multi-robot coordination. He also contributed to "Complex Differential Evolution Algorithm for Inverse Kinematics of Spatial 6R Robot Manipulators" (2014, 9 citations), where he developed an adaptive division complex differential evolution algorithm (ADCDE) to solve inverse kinematics for industrial manipulators like the Staubli TX60. By balancing exploration and exploitation in the optimization process, his approach improves both convergence accuracy and reliability. With nearly 20 citations across his most cited works, He's research bridges theoretical control methods and practical robotics applications, offering valuable insights for students and researchers working on multi-agent systems, nonlinear optimization, and industrial automation.
Research Focus
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Top Papers
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