Trung Dung Pham
Papers
2
Total Citations
17
H-Index
2
About
Trung Dung Pham is a robotics researcher specializing in autonomous navigation for mobile robots operating in dynamic, human-populated environments. His work sits at the intersection of motion planning, social robotics, and deep reinforcement learning, addressing the critical challenge of enabling robots to move safely and naturally alongside people. Pham’s most impactful contribution is the **Proactive Timed Elastic Band (PTEB)** algorithm, which intelligently anticipates human motion to plan collision-free, socially compliant trajectories—a paper that has garnered 14 citations. He further advanced the field with a **deep reinforcement learning-based navigation framework** that teaches robots to avoid not only individuals but also complex social interactions, such as groups conversing. By integrating socio-spatial awareness into decision-making, Pham’s research bridges the gap between theoretical path planning and real-world human-robot coexistence. His work is essential reading for students and engineers developing autonomous systems for crowded spaces like hospitals, airports, and shopping malls, offering practical algorithms that prioritize both safety and social fluency.
Research Focus
Key Achievements
Top Papers
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