Papers
10
Total Citations
119
H-Index
8
About
Dr. Nguyen Van Toan is a leading researcher in robotics, specializing in safe physical human–robot interaction (pHRI), human-following mobile robots, and advanced control for closed-form and relative manipulation mechanisms. His most influential work, the “Fuzzy-based admittance controller for safe natural human–robot interaction” (2019, 20 citations), pioneered the use of fuzzy logic to dynamically adjust robot compliance, significantly enhancing safety and natural cooperation during physical contact. He further advanced this field with a damping controller for pHRI (2017, 9 citations) and an MLP-Hedge-Algebras admittance controller (2021, 6 citations), collectively establishing a robust framework for intuitive and secure human-robot collaboration. In mobile robotics, Dr. Toan developed a human-following strategy for mixed environments (2022, 19 citations) and a hierarchical approach for updating targeted person states (2023, 7 citations), enabling reliable autonomous companionship. His contributions to mechanism control include Hedge-Algebras-based (2018, 16 citations) and fuzzy-based (2019, 12 citations) controllers for relative manipulation robots, as well as an SVD-least-square algorithm for kinematic calibration (2018, 11 citations). With over 120 total citations across these key works, Dr. Toan’s research is foundational for developing safer, more adaptive, and more capable robotic systems for real-world human environments.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy-based-admittance controller for safe natural human–robot interaction20 citations · 2019
- 2The human-following strategy for mobile robots in mixed environments19 citations · 2022
- 3Hedge-Algebras-Based Controller for Mechanisms of Relative Manipulation16 citations · 2018
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- 8A Single 2-D LiDAR Extrinsic Calibration for Autonomous Mobile Robots8 citations · 2023
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