Motonari Kambara

According to our database, Motonari Kambara authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks.

Takumi Komatsu, Motonari Kambara, Shumpei Hatanaka, Haruka Matsuo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

Adv. Robotics, September, 2024

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

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

Miyu Goko, Motonari Kambara, Daichi Saito, Seitaro Otsuki, Komei Sugiura

CoRR, 2024

Object Segmentation from Open-Vocabulary Manipulation Instructions Based on Optimal Transport Polygon Matching with Multimodal Foundation Models.

Takayuki Nishimura, Katsuyuki Kuyo, Motonari Kambara, Komei Sugiura

CoRR, 2024

2023

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

CoRR, 2023

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

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

2022

Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks.

Motonari Kambara, Komei Sugiura

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

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

Motonari Kambara, Komei Sugiura

IEEE Robotics Autom. Lett., 2021