V. Dang
Van Huyen Dang is a research assistant at Paderborn University in Germany, focusing on advanced control strategies and AI-based robotics including reinforcement learning, navigation, and autonomous driving systems. He has published work on visual SLAM, depth estimation using recurrent neural networks, and safe navigation frameworks for aerial robots, with papers accepted to IEEE Robotics and Automation Letters and ICRA 2026. His research spans autonomous systems, UAV navigation, and underwater robotics.
“Co-first authors who executed the core technical work, demonstrating that mid-scale VLAs can be fine-tuned on consumer hardware and deployed in real-time SITL environments.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.