Simon Brodeur

Papers

Total Citations

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About

Simon Brodeur is a leading researcher in artificial intelligence, with a primary focus on developing embodied agents that can learn and interact within complex, multimodal environments. His most significant contribution is the creation of HoME (a Household Multimodal Environment), a groundbreaking platform that integrates vision, audio, semantics, physics, and object interaction into over 45,000 realistic 3D house layouts. This work, cited over 80 times, provided the AI community with an unprecedented scale and diversity for training agents, moving beyond simple 2D tasks to rich, household-based scenarios. By enabling agents to learn from multiple sensory streams simultaneously, Brodeur’s research has been instrumental in advancing the fields of embodied AI, multimodal learning, and scene understanding. His work on HoME remains a foundational benchmark for researchers aiming to build more general, perceptive, and capable artificial agents that can navigate and operate in the real world.