PeopleofSuperintelligence

Researcher

Jordi Salvador

Jordi Salvador is a researcher in embodied AI and computer vision. He completed a thesis on multi-view video reconstruction at Universitat Politècnica de Catalunya in 2011 and published Naive Bayes Super-Resolution Forest at ICCV in 2015 while at Technicolor. His research includes an agent that learns object properties through interaction, ProcTHOR’s procedural environments, and Objaverse’s annotated 3D models. He coauthored GraspMolmo in 2025 for task-oriented robot grasping; as of October 2026, he is part of AI2’s team and contributes to MolmoSpaces for robot navigation and manipulation.

Works
55
Citations
1,628
h-index
13

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2011

    A UPC thesis

    At UPC, he completes a thesis on Surface Reconstruction for Multi-View Video in 2011.

  2. 2015

    A super-resolution forest

    He publishes Naive Bayes Super-Resolution Forest at ICCV in 2015 with Eduardo Pérez-Pellitero; both are affiliated with Technicolor.

  3. 2020

    Learning through interaction

    In 2020, he coauthors Learning About Objects by Learning to Interact with Them, a study in which an agent learns object geometry and relative masses through interaction.

  4. 2022

    A NeurIPS Outstanding Paper

    In 2022, NeurIPS gives ProcTHOR an Outstanding Paper award. The framework procedurally generates virtual environments for training embodied AI agents.

  5. December 2022

    A large 3D collection

    In December 2022, he coauthors Objaverse 1.0, an annotated collection of more than 800,000 3D models with captions, tags, and animations.

  6. 2025

    Task-oriented robot grasping

    In 2025, he coauthors GraspMolmo, an open-vocabulary task-oriented grasping model that predicts stable grasps from a language instruction and a single RGB-D frame.

  7. As of October 2026

    Research at AI2

    As of October 2026, he is part of AI2’s team. In February 2026, he contributes to MolmoSpaces, an open ecosystem for robot navigation and manipulation; his work includes asset conversion and physical parameter tuning.

Sources and credits

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  1. Jordi Salvador | Image Processing Group imatge.upc.edu. Checked 15 October 2026.
  2. Jordi Salvador, Ph.D.: ICCV 2015 jordisalvador-image.blogspot.com. Checked 15 October 2026.
  3. [2006.09306] Learning About Objects by Learning to Interact with Them arxiv.org. Checked 15 October 2026.
  4. NeurIPS 2022 Awards neurips.cc. Checked 15 October 2026.
  5. [2212.08051] Objaverse: A Universe of Annotated 3D Objects arxiv.org. Checked 15 October 2026.
  6. [2505.13441] GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation arxiv.org. Checked 15 October 2026.
  7. Team Directory | Ai2 allenai.org. Checked 15 October 2026.
  8. MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation arxiv.org. Checked 15 October 2026.