Mohamed Kari

Mohamed Kari’s professional profile showcases research at the intersection of robotics, mixed reality, computer vision, and human-computer interaction. A research scientist at FieldAI’s Research Institute in Cambridge, Massachusetts, he leads work on human-on-the-loop dexterous bimanual manipulation for scene-aware humanoid robots. His broader goal is to help create intelligent, sensor-rich machines that understand their surroundings and interact more seamlessly with people and the physical world.

Kari’s work spans interactive, real-time 3D graphics and vision systems for augmented reality and robotics. His research has been presented at leading venues including ACM UIST, IEEE ISMAR, ACM CHI, and ACM SIGGRAPH, earning three best-paper awards and nominations. His 2025 UIST paper, Reality Promises, explores how robots and mixed reality can make virtual manipulations appear to affect physical objects. Previous roles include a presidential postdoctoral fellowship at Princeton, research at ETH Zurich, and industry work at Apple, Meta, and Porsche. At Porsche, he co-founded an emerging technology research effort focused on context-aware automotive mixed reality.