Vietnam National University Ho Chi Minh City

About

Vietnam National University Ho Chi Minh City (VNU-HCM) has established itself as a dynamic research hub at the intersection of robotics, intelligent control systems, and human-robot interaction, producing work that resonates well beyond Southeast Asia. With a strong emphasis on adaptive and bio-inspired robotics, the university's researchers have made particularly noteworthy contributions in neural network-based control, evolutionary optimization algorithms, and vision-guided robotic systems. At the core of VNU-HCM's robotics research is a sustained focus on intelligent controllers for complex mechanical systems. Pioneering work on adaptive feed-forward-PID controllers for SCARA parallel robots driven by pneumatic artificial muscles—drawing on modified differential evolution algorithms and neural networks—has attracted over 70 citations and exemplifies the institution's signature approach: merging biologically inspired computation with precision engineering. This thread runs through humanoid gait generation, biped walking optimization, and compliant force-position control of serial PAM robots, reflecting a coherent and ambitious research agenda. The university has also distinguished itself in vision-based robotics, publishing competitive work on visual servoing, online weld seam tracking, and deep learning-driven waste classification using robotic manipulation—demonstrating direct applicability to smart manufacturing and sustainable industry. Collaborative robot safety, fenceless collision avoidance in cyber-physical systems, and elastic joint modeling further highlight a commitment to human-centered robotics. Beyond the laboratory, VNU-HCM actively bridges research and education through open platforms for project-based learning, preparing engineers for 21st-century challenges. With a growing citation record, internationally co-authored publications, and interdisciplinary ambitions spanning environmental science and embedded systems, VNU-HCM presents a compelling environment for prospective students and collaborators seeking impactful, application-driven research in robotics and AI.

Research Focus

Key Achievements

Top Papers

1. 1
   A novel adaptive feed-forward-PID controller of a SCARA parallel robot using pneumatic artificial muscle actuator based on neural network and modified differential evolution algorithm

   73 citations · 2017
2. 2
   Simulating Complex Robotic Scenarios with MORSE

   64 citations · 2012
3. 3
   Development of a vision system integrated with industrial robots for online weld seam tracking

   57 citations · 2024
4. 4
   Dynamic Analysis of a Robotic Fish Propelled by Flexible Folding Pectoral Fins

   43 citations · 2019
5. 5
   Impact of biomass burnings in Southeast Asia on air quality and pollutant transport during the end of the 2019 dry season

   32 citations · 2021
6. 6
   A review and performance comparison of visual servoing controls

   32 citations · 2023
7. 7
   Adaptive gait generation for humanoid robot using evolutionary neural model optimized with modified differential evolution technique

   28 citations · 2018
8. 8
   Adaptive Neural Compliant Force-Position Control of Serial PAM Robot

   27 citations · 2017
9. 9
   Design of an Open Platform for Multi-Disciplinary Approach in Project-Based Learning of an EPICS Class

   22 citations · 2019
10. 10
    Fenceless Collision-Free Avoidance Driven by Visual Computation for an Intelligent Cyber–Physical System Employing Both Single- and Double-S Trajectory

    22 citations · 2023

Faculty & Researchers

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