Sendren Sheng‐Dong Xu
National Taiwan University of Science and Technology, National Taipei University of Technology
Papers
8
Total Citations
125
H-Index
7
About
Sendren Sheng-Dong Xu is a leading researcher in swarm robotics, cyber-physical systems (CPS), and intelligent control, with a focus on bio-inspired and hybrid optimization algorithms. His major contributions include pioneering the integration of artificial immune systems, fuzzy logic, and evolutionary algorithms—such as the robust orthogonal firefly algorithm and Taguchi-genetic method—to solve complex formation control and inverse kinematics problems for multi-robot and humanoid systems. His work on networked multirobot CPS for distributed formation control has garnered 50 citations, while his collision-free fuzzy formation control strategy for swarm robotic CPS has received 21 citations. Xu has also advanced real-time hardware implementation, notably field-programmable gate array (FPGA) realization of optimal inverse kinematics for industrial robotic manipulators. His research spans biologically-inspired self-evolving control, intelligent LiDAR SLAM for autonomous mobile robots, and T-S fuzzy-based terminal sliding mode control. With over 125 citations across his most cited works, Xu’s innovations in hybrid swarm intelligence and embedded robotics continue to influence autonomous systems and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 8Study of a class of T-S fuzzy-based Terminal Sliding Mode Control4 citations · 2013