Viet-Binh Do
Papers
1
Total Citations
2
H-Index
1
About
Dr. Viet-Binh Do is a rising researcher at the forefront of socially intelligent robotics, with a primary focus on multi-objective decision-making and deep reinforcement learning for autonomous navigation. His most-cited work, a 2023 paper on "Multi-Objective Deep Reinforcement Learning with Priority-based Socially Aware Mobile Robot Navigation Frameworks," tackles a critical challenge in human-robot interaction: enabling robots to navigate crowded, dynamic environments while balancing competing objectives like safety, efficiency, and social compliance. By framing socially aware navigation as a multi-objective problem—rather than a single-objective one—Dr. Do’s research demonstrates that traditional reinforcement learning approaches often fail to generalize to the nuanced demands of human social spaces. His proposed priority-based framework offers a more flexible and adaptive solution, allowing robots to dynamically weigh goals such as maintaining personal space, respecting social norms, and reaching destinations efficiently. Though early in his career, with 2 citations to date, this foundational work is gaining traction in the robotics and AI communities, particularly among researchers exploring socially-aware autonomous systems. Dr. Do’s contributions are paving the way for more intuitive and acceptable robot behaviors in public spaces, from hospitals to shopping malls.
Research Focus
Key Achievements
Top Papers
- 1