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About

Vasu Sharma is a leading researcher at the intersection of Embodied AI, multimodal machine learning, and human-robot interaction. His work focuses on bridging the gap between language, vision, and physical action, enabling robots to understand and execute complex tasks in human environments. Sharma’s major contributions include the creation of foundational benchmarks and platforms that accelerate research in cooperative multi-agent systems and interactive AI. He is the lead author of **CH-MARL**, a pioneering multimodal benchmark for cooperative, heterogeneous multi-agent reinforcement learning, which introduces vision-and-language tasks for teams of robots in simulated home environments. Sharma also spearheaded the development of **Alexa Arena**, a user-centric simulation platform designed for embodied AI research, featuring rich multi-room layouts and interactive objects for human-robot interaction missions. His work on the **Alexa Prize SimBot Challenge** helped bring embodied AI to a global audience of university researchers. With over 11 citations across his most-cited papers, Sharma’s platforms and benchmarks are shaping the future of how AI agents learn to collaborate, communicate, and assist humans in the real world.