Papers
2
Total Citations
10
H-Index
2
About
Nguyen Duc Sang’s research centers on the design and control of parallel robotic systems, with a particular focus on delta and five-bar configurations. His work bridges theoretical kinematics and practical control implementation, aiming to improve robot precision, energy efficiency, and robustness. In his 2015 study, Sang conducted a comparative analysis of control methods for delta spatial parallel robots, evaluating computed torque control, sliding mode control, and a neural-network-enhanced sliding mode approach. The findings highlighted the limitations of PD control under model uncertainty, establishing a foundation for more adaptive, disturbance-resistant strategies. Building on this, his 2018 paper introduced a kinematically defined performance index for five-bar parallel robots, optimizing energy consumption through refined mechanical design. Though each of these key papers has garnered 5 citations, they represent foundational contributions to the field of parallel robotics, offering practical insights for both researchers and engineers working on high-performance automation systems. Sang’s work is particularly valuable for those seeking to balance dynamic accuracy with energy sustainability in robotic design.
Research Focus
Key Achievements
Top Papers
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