Wu Benjamin ＷｕＢｅｎｊａｍｉｎ

Researcher Number	50868718
Affiliation (Current)	2026: 国立天文台, アルマプロジェクト, 特別客員研究員
Affiliation (based on the past Project Information) *help	2020 – 2024: 国立天文台, アルマプロジェクト, 特別客員研究員
Review Section/Research Field	Principal Investigator Basic Section 20020:Robotics and intelligent system-related
Keywords	Principal Investigator autonomous vehicles / space exploration / interferometry / astronomy / robotics / orbital dynamics / numerical simulation / deep learning / computer vision / machine learning

Research Projects
(1 results)
Research Products
(17 results)

Deep Learning for Planetary Rover LocalizationPrincipal Investigator
- Principal Investigator
  
  Wu Benjamin
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 20020:Robotics and intelligent system-related
- Research Institution
  National Astronomical Observatory of Japan

All 2024 2022 2021 2020

All Journal Article Presentation Patent

[Journal Article] Neural Interferometry: Image Reconstruction from Astronomical Interferometers using Transformer Conditioned Neural Fields2022
- Author(s)
  Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz
- Journal Title
  
  Association for the Advancement of Artificial Intelligence
  
  Volume: 1 Pages: 10158-10158
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14706
[Journal Article] Low-thrust rendezvous trajectory generation for multi-target active space debris removal using the RQ-Law2022
- Author(s)
  Sanjeev Narayanaswamy, Benjamin Wu, Philippe Ludivig, Frank Soboczenski, Karthik Venkataramani, & Christopher J. Damaren
- Journal Title
  
  Advances in Space Research
  
  Volume: 12 Issue: 10 Pages: 49-49
- DOI
  10.1016/j.asr.2022.12.049
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14706
[Journal Article] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2022
- Author(s)
  Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Chaudhry, Wonmin Byeon
- Journal Title
  
  International Conference on Computational Science Proceedings
  
  Volume: 1 Pages: 372-379
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14706
[Journal Article] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2021
- Author(s)
  Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Chaudhry, Wonmin Byeon
- Journal Title
  
  NeurIPS: Machine Learning and the Physical Sciences
  
  Volume: 1 Pages: 121-121
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] MACHINE-LEARNING TECHNIQUES FOR REPRESENTING ITEMS IN A SPECTRAL DOMAIN2022
- Inventor(s)
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Holder
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] Machine-learning techniques for representing items in a spectral domain2022
- Inventor(s)
  Eckart, Kautz, Liu, Wu
- Industrial Property Rights Holder
  NVIDIA Corp
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] MACHINE-LEARNING TECHNIQUES FOR CONSTRUCTING MEDICAL IMAGES2022
- Inventor(s)
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Holder
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] PERFORMING SIMULATIONS USING MACHINE LEARNING2022
- Inventor(s)
  W.Byeon, B.Wu, O.Hennigh
- Industrial Property Rights Holder
  W.Byeon, B.Wu, O.Hennigh
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] Machine-learning techniques for constructing medical images2022
- Inventor(s)
  Eckart, Kautz, Liu, Wu
- Industrial Property Rights Holder
  NVIDIA Corp
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] Machine-learning techniques for sparse-to-dense spectral reconstruction2022
- Inventor(s)
  Eckart, Kautz, Liu, Wu
- Industrial Property Rights Holder
  NVIDIA Corp
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] Performing simulations using machine learning2022
- Inventor(s)
  Byeon, Wu, Hennigh
- Industrial Property Rights Holder
  NVIDIA Corp
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Patent] MACHINE-LEARNING TECHNIQUES FOR SPARSE-TO-DENSE SPECTRAL RECONSTRUCTION2022
- Inventor(s)
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Holder
  B.Eckart, J.Kautz, C.Liu, B.Wu
- Industrial Property Rights Type
  特許
- Filing Date
  2022
- Overseas
- Data Source
  KAKENHI-PROJECT-20K14706
[Presentation] Absolute Localization through Vision Transformer Matching of Planetary Surface Perspective Imagery from a Digital Twin2024
- Author(s)
  Philippe Ludivig, Benjamin Wu, Maciej Marcin Zurad
- Organizer
  International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) 2024
- Data Source
  KAKENHI-PROJECT-20K14706
[Presentation] Neural Interferometry: Image Reconstruction from Astronomical Interferometers using Transformer Conditioned Neural Fields2022
- Author(s)
  Benjamin Wu, Chao Liu, Benjamin Eckart
- Organizer
  AAAI-2022 (Association for the Advancement of Artificial Intelligence)
- Data Source
  KAKENHI-PROJECT-20K14706
[Presentation] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2022
- Author(s)
  Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Chaudhry, Wonmin Byeon
- Organizer
  International Conference on Computational Science
- Data Source
  KAKENHI-PROJECT-20K14706
[Presentation] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2021
- Author(s)
  Benjamin Wu
- Organizer
  NeurIPS 2021 (Neural Information Processing Systems) Machine Learning and the Physical Sciences
- Data Source
  KAKENHI-PROJECT-20K14706
[Presentation] Absolute Localization for Surface Robotics in GPS-denied Environments using a Neural Network2020
- Author(s)
  Benjamin Wu, Philippe Ludivig, Ross W. K. Potter, Andrew S. Chung, Timothy Seabrook
- Organizer
  International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14706

Wu Benjamin Ｗｕ Ｂｅｎｊａｍｉｎ

Research Projects

Research Products

Deep Learning for Planetary Rover LocalizationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Neural Interferometry: Image Reconstruction from Astronomical Interferometers using Transformer Conditioned Neural Fields2022

Author(s)

Journal Title

Data Source

[Journal Article] Low-thrust rendezvous trajectory generation for multi-target active space debris removal using the RQ-Law2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2022

Author(s)

Journal Title

Data Source

[Journal Article] Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations2021

Author(s)

Journal Title

Data Source

[Patent] MACHINE-LEARNING TECHNIQUES FOR REPRESENTING ITEMS IN A SPECTRAL DOMAIN2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] Machine-learning techniques for representing items in a spectral domain2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] MACHINE-LEARNING TECHNIQUES FOR CONSTRUCTING MEDICAL IMAGES2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] PERFORMING SIMULATIONS USING MACHINE LEARNING2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] Machine-learning techniques for constructing medical images2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] Machine-learning techniques for sparse-to-dense spectral reconstruction2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] Performing simulations using machine learning2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Patent] MACHINE-LEARNING TECHNIQUES FOR SPARSE-TO-DENSE SPECTRAL RECONSTRUCTION2022

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Presentation] Absolute Localization through Vision Transformer Matching of Planetary Surface Perspective Imagery from a Digital Twin2024

Author(s)

Organizer

Data Source

[Presentation] Neural Interferometry: Image Reconstruction from Astronomical Interferometers using Transformer Conditioned Neural Fields2022

Author(s)

Wu Benjamin ＷｕＢｅｎｊａｍｉｎ