Nguyen Tien Dat

Phenikaa University, Vietnam National University Ho Chi Minh City

Papers

Total Citations

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About

Nguyen Tien Dat is a rising researcher in robotics, with a focus on intelligent locomotion and adaptive control for complex robotic systems. His work spans three key areas: reconfigurable robot path planning, bipedal balance, and nonlinear actuator control. In his most impactful paper, "Complete coverage planning using Deep Reinforcement Learning for polyiamonds-based reconfigurable robot" (2024, 9 citations), Dat pioneered the use of deep reinforcement learning to enable a modular, shape-shifting robot to autonomously cover entire areas—a critical capability for search-and-rescue or inspection tasks. He further advanced bipedal robotics with "Advanced Flywheel-based Balance for Biped Robot Stably Walking" (2022, 3 citations), where he designed a dynamic model and closed-loop controller using a flywheel at the robot’s upper body to maintain stability during gait, addressing a longstanding challenge in humanoid locomotion. Additionally, his work on "Advanced Adaptive Fuzzy Sliding Control Technique for Nonlinear 2-DOF PAM Robot Arm" (2024) demonstrates expertise in soft robotics, applying adaptive fuzzy logic to pneumatic artificial muscle arms. With a total of 13 citations across these papers, Dat is establishing himself as a versatile innovator, blending reinforcement learning, control theory, and mechanical design to push the boundaries of autonomous and adaptive robots.