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About

Adil Dostmohamed is a leading researcher at the intersection of robotics and artificial intelligence, with a primary focus on developing agile, animal-level locomotion for quadruped robots and bridging the gap between large multimodal AI models and physical robotic systems. His most notable contribution is the introduction of **Barkour**, a pioneering benchmark that systematically evaluates quadruped robots on their ability to perform agile, animal-like maneuvers such as sprinting, leaping, and jumping. This work, which has garnered 13 citations, provides a critical framework for advancing legged robotics toward the fluidity and efficiency seen in biological counterparts. More recently, Dostmohamed has been at the forefront of integrating large-scale AI into the physical world, as demonstrated by his work on **Gemini Robotics** (2025, 4 citations). This research tackles the formidable challenge of translating the generalist capabilities of large multimodal models—typically confined to digital domains—into actionable, real-world robotic behaviors. By designing AI models purpose-built for physical agents, Dostmohamed is helping to unlock a new era of robots that can perceive, reason, and act with unprecedented versatility, making him a key figure in the future of embodied intelligence.