PhD Researcher

Duc Tai Nguyen

PhD Student

tai.nguyen@smu.edu.sg

About

Researching deep reinforcement learning for robot navigation in crowded environments.

Research Vision

Developing robust deep reinforcement learning methods for socially-aware robot navigation that can handle highly dynamic, crowded real-world environments.

Current Work

Designing novel reward shaping and curriculum learning approaches for training navigation policies in dense crowd scenarios.

Research Interests

Deep RLNavigationCrowd Simulation

Mentored by

Linh Kästner

Publications (3)

2 as first author1 as co-author

First-author papers (2)

PEDS: Closed-Loop Benchmarking of Social Navigation across Pedestrian Behavior Models

Duc Tai Nguyen, Volodymyr Shcherbyna, Anh Do Duc, Zhengcheng Shen, Linh Kästner

IEEE RA-L + ICRA 2027, Seoul, South Korea2026-10-14

Paper Code Dataset Video

GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation

Duc Tai Nguyen, Volodymyr Shcherbyna, Anh Do Duc, Zhengcheng Shen, Teham Buiyan, Linh Kästner

IEEE/RSJ IROS 2026, Pittsburgh, USA2026-09-27

Paper arXiv

Co-authored papers (1)

D3D-GEN: Robot-Aware Domain-Grounded Interactive 3D World Generation for Social Robotics

Anh Duc Do, Volodymyr Shcherbyna, Tai Duc Nguyen, Spaarsh Thakkar, Zhengcheng Shen, Teham Buiyan, Archan Misra, Linh Kästner

IEEE/RSJ IROS 2026, Pittsburgh, USA2026-09-27

Paper arXiv

Interested in collaborating?

Reach out to Duc Tai Nguyen or apply to join ARENA Lab.

Contact Apply to ARENA Lab