Elie Aljalbout

I'm a research scientist at the Seattle Robotics Lab. Prior to joining NVIDIA, I was working on world modeling for robotics at Meta FAIR. Before that, I was a postdoctoral researcher in Zurich, Switzerland, working on agile robotics. I completed my PhD at TU Munich while working as research scientist at the Volkswagen Machine Learning Research Lab.

Dvir Samuel

Dvir Samuel joined NVIDIA Research as a Research Scientist in 2026. His main fields of interest are machine learning and generative modeling. In particular, he studies diffusion- and flow-matching methods for image and video generation and editing, with an emphasis on personalization, controllability, and learning under long-tailed data regimes.

Dvir completed his Ph.D. at Bar-Ilan University under the supervision of Prof. Gal Chechik. His research spans long-tail and few-shot learning, as well as modern generative approaches for visual content creation and manipulation.

Aim My Robot: Precision Local Navigation to Any Object

Existing navigation systems mostly consider “success” when the robot reaches within 1 m radius to a goal. This precision is insufficient for emerging applications where a robot needs to be positioned precisely relative to an object for downstream tasks, such as docking, inspection, and manipulation. To this end, we design and implement Aim-My-Robot (AMR), a local navigation system that enables a robot to reach any object in its vicinity at the desired relative pose, with centimeter-level accuracy.

Haotian Zhang

Haotian Zhang is a Senior Research Scientist at NV Cosmos. His research aims to enable embodied agents to understand the outside world. To that end, he works on designing sensible modules that learn the effective representation of information from Vision & Language. Haotian's work on GLIP was awarded as CVPR 2022 Best Paper Finalist. Prior to joining NV, he obtained his Ph.D. at the University of Washington. Haotian believes that living an interesting life is done by doing interesting things with interesting people, and that’s what he hopes to do.

Chi-Pin Huang

Chi-Pin Huang is a Research Scientist at NVIDIA Research Taiwan. His research focuses on Vision-Language Generative Models and Vision-Language-Action Models (VLAs), with particular interest in bridging perception, generation, and decision-making. He received his Ph.D. degree from National Taiwan University in 2026 under the supervision of Prof. Yu-Chiang Frank Wang, and earned his B.S.