FutureMapping 2: Gaussian Belief Propagation for Spatial AI. - Andrew J. Davison; Joseph Ortiz (CoRR, 2019)

Bundle Adjustment on a Graph Processor. - Joseph Ortiz; Mark Pupilli; Stefan Leutenegger; Andrew J. Davison (CVPR, 2020)

iMAP: Implicit Mapping and Positioning in Real-Time. - Edgar Sucar; Shikun Liu; Joseph Ortiz; Andrew J. Davison (ICCV, 2021)

A visual introduction to Gaussian Belief Propagation. - Joseph Ortiz; Talfan Evans; Andrew J. Davison (CoRR, 2021)

Incremental Abstraction in Distributed Probabilistic SLAM Graphs. - Joseph Ortiz; Talfan Evans; Edgar Sucar; Andrew J. Davison (ICRA, 2022)

Theseus: A Library for Differentiable Nonlinear Optimization. - Luis Pineda; Taosha Fan; Maurizio Monge; Shobha Venkataraman; Paloma Sodhi; Ricky T. Q. Chen; Joseph Ortiz; Daniel DeTone; Austin S. Wang; Stuart Anderson; Jing Dong 002; Brandon Amos; et al. (NeurIPS, 2022)

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. - Joseph Ortiz; Alexander Clegg; Jing Dong 002; Edgar Sucar; David Novotný; Michael Zollhöfer; Mustafa Mukadam (Robotics: Science and Systems, 2022)

A Robot Web for Distributed Many-Device Localisation. - Riku Murai; Joseph Ortiz; Sajad Saeedi 001; Paul H. J. Kelly; Andrew J. Davison (CoRR, 2022)

Decentralization and Acceleration Enables Large-Scale Bundle Adjustment. - Taosha Fan; Joseph Ortiz; Ming Hsiao; Maurizio Monge; Jing Dong 002; Todd D. Murphey; Mustafa Mukadam (Robotics: Science and Systems, 2023)

Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies. - Carolina Higuera; Joseph Ortiz; Haozhi Qi; Luis Pineda; Byron Boots; Mustafa Mukadam (CoRR, 2023)

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (CoRR, 2023)

A Touch, Vision, and Language Dataset for Multimodal Alignment. - Letian Fu; Gaurav Datta; Huang Huang; William Chung-Ho Panitch; Jaimyn Drake; Joseph Ortiz; Mustafa Mukadam; Mike Lambeta; Roberto Calandra; Ken Goldberg (ICML, 2024)

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors. - Joseph Ortiz; Antoine Dedieu; Wolfgang Lehrach; J. Swaroop Guntupalli; Carter Wendelken; Ahmad Humayun; Sivaramakrishnan Swaminathan; Guangyao Zhou; Miguel Lázaro-Gredilla; Kevin P. Murphy (NeurIPS, 2024)

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (Sci. Robotics, 2024)

A Robot Web for Distributed Many-Device Localization. - Riku Murai; Joseph Ortiz; Sajad Saeedi G.; Paul H. J. Kelly; Andrew J. Davison (IEEE Trans. Robotics, 2024)

Diffusion Model Predictive Control. - Guangyao Zhou; Sivaramakrishnan Swaminathan; Rajkumar Vasudeva Raju; J. Swaroop Guntupalli; Wolfgang Lehrach; Joseph Ortiz; Antoine Dedieu; Miguel Lázaro-Gredilla; Kevin Patrick Murphy (Trans. Mach. Learn. Res., 2025)

Improving Transformer World Models for Data-Efficient RL. - Antoine Dedieu; Joseph Ortiz; Xinghua Lou; Carter Wendelken; Wolfgang Lehrach; J. Swaroop Guntupalli; Miguel Lázaro-Gredilla; Kevin Patrick Murphy (CoRR, 2025)