Joseph Ortiz

28 papers A* 7Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DABA: Decentralized and accelerated large-scale bundle adjustment.
Int. J. Robotics Res.
Taosha Fan, Joseph Ortiz, Ming Hsiao, Maurizio Monge, Jing Dong, Todd D. Murphey, Mustafa Mukadam
2025 J jnl
Diffusion Model Predictive Control.
Trans. Mach. Learn. Res.
Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2025 A* conf
Improving Transformer World Models for Data-Efficient RL.
ICML
Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J. Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2025 J jnl
Improving Transformer World Models for Data-Efficient RL.
CoRR
Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, Wolfgang Lehrach, J. Swaroop Guntupalli, Miguel Lázaro-Gredilla, Kevin Patrick Murphy
2024 J jnl
A Robot Web for Distributed Many-Device Localization.
IEEE Trans. Robotics
Riku Murai, Joseph Ortiz, Sajad Saeedi G., Paul H. J. Kelly, Andrew J. Davison
2024 A* conf
A Touch, Vision, and Language Dataset for Multimodal Alignment.
ICML
Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg
2024 J jnl
A Touch, Vision, and Language Dataset for Multimodal Alignment.
CoRR
Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg
2024 A* conf
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors.
NeurIPS
Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Sivaramakrishnan Swaminathan, Guangyao Zhou, Miguel Lázaro-Gredilla, Kevin P. Murphy
2024 J jnl
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors.
CoRR
Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy
2024 J jnl
Diffusion Model Predictive Control.
CoRR
Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy
2024 J jnl
NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation.
Sci. Robotics
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023 — conf
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment.
Robotics: Science and Systems
Taosha Fan, Joseph Ortiz, Ming Hsiao, Maurizio Monge, Jing Dong, Todd D. Murphey, Mustafa Mukadam
2023 J jnl
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment.
CoRR
Taosha Fan, Joseph Ortiz, Ming Hsiao, Maurizio Monge, Jing Dong, Todd D. Murphey, Mustafa Mukadam
2023 J jnl
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.
CoRR
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023 J jnl
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies.
CoRR
Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam
2022 J jnl
A Robot Web for Distributed Many-Device Localisation.
CoRR
Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison
2022 A* conf
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
ICRA
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2022 A* conf
Theseus: A Library for Differentiable Nonlinear Optimization.
NeurIPS
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, Brandon Amos, Mustafa Mukadam
2022 J jnl
Theseus: A Library for Differentiable Nonlinear Optimization.
CoRR
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, Brandon Amos, Mustafa Mukadam
2022 — conf
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
Robotics: Science and Systems
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
2022 J jnl
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
CoRR
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
2021 J jnl
A visual introduction to Gaussian Belief Propagation.
CoRR
Joseph Ortiz, Talfan Evans, Andrew J. Davison
2021 J jnl
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
CoRR
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2021 A* conf
iMAP: Implicit Mapping and Positioning in Real-Time.
ICCV
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2021 J jnl
iMAP: Implicit Mapping and Positioning in Real-Time.
CoRR
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2020 A* conf
Bundle Adjustment on a Graph Processor.
CVPR
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
2020 J jnl
Bundle Adjustment on a Graph Processor.
CoRR
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
2019 J jnl
FutureMapping 2: Gaussian Belief Propagation for Spatial AI.
CoRR
Andrew J. Davison, Joseph Ortiz