Motonari Kambara

PhD student, Keio University

Joined

May 2023

Names

Motonari Kambara (Preferred)

Emails

****@keio.jp (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Keio University (keio.ac.jp)

2023 – Present

MS student

Keio University (keio.ac.jp)

2021 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations
Miyu Goko, Motonari Kambara, Daichi Saito, Seitaro Otsuki, Komei Sugiura
- CoRL 2024
- Readers: Everyone
Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Kanta Kaneda, Shunya Nagashima, Ryosuke Korekata, Motonari Kambara, Komei Sugiura
- IEEE Robotics Autom. Lett. 2024
- Readers: Everyone
Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space
Motonari Kambara, Komei Sugiura
- CoRR 2023
- Readers: Everyone
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks
Ryosuke Korekata, Motonari Kambara, Yu Yoshida, Shintaro Ishikawa, Yosuke Kawasaki, Masaki Takahashi, Komei Sugiura
- IROS 2023
- Readers: Everyone
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
Kanta Kaneda, Ryosuke Korekata, Yuiga Wada, Shunya Nagashima, Motonari Kambara, Yui Iioka, Haruka Matsuo, Yuto Imai, Takayuki Nishimura, Komei Sugiura
- Published: 01 Jan 2023, Last Modified: 17 Nov 2023
- CoRR 2023
- Readers: Everyone
Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks
Motonari Kambara, Komei Sugiura
- ICIP 2022
- Readers: Everyone
Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions
Motonari Kambara, Komei Sugiura
- 2021 (modified: 09 Jun 2022)
- IEEE Robotics Autom. Lett. 2021
- Readers: Everyone

Motonari Kambara

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations

Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine

Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space

Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks

DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training

Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks

Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions

Co-Authors