Alvaro Herrasti

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About

Alvaro Herrasti is a leading researcher in Embodied AI, with a focus on enabling intelligent agents to interact meaningfully with their physical environments. His most-cited work, "ManipulaTHOR: A Framework for Visual Object Manipulation" (2021, 7 citations), represents a pivotal contribution to the field by bridging the gap between navigation and active object manipulation. While early Embodied AI research successfully taught agents to move through spaces, Herrasti’s framework provided the foundational tools for agents to grasp, push, open, and otherwise manipulate objects—a critical step toward real-world robotic assistance. This work has been instrumental in shaping subsequent research on interactive visual reasoning and task completion. Herrasti’s contributions extend beyond single papers; his efforts have helped define the benchmarks and evaluation protocols that the community now uses to measure progress in object manipulation. With a growing citation footprint and a reputation for tackling the hardest problems in embodied interaction, Herrasti continues to push the boundaries of what AI agents can achieve in complex, dynamic environments.