8 citations · 11 across the 7 of their papers we have counts for
7 papers
SaaF: Scene-Specific Ambiguity-Aware 3D Language Fields towards Interactive Real-World Object Retrieval
Yuga Yano, Daiju Kanaoka, Hakaru Tamukoh +1
We propose Scene-specific Ambiguity-aware 3D Language Fields (SaaF), a novel Gaussian Splatting-based 3D language field designed for interactive object retrieval in a given real-wo…
Unified Understanding of Environment, Task, and Human for Human-Robot Interaction in Real-World Environments
Yuga Yano, Akinobu Mizutani, Yukiya Fukuda +3
To facilitate human--robot interaction (HRI) tasks in real-world scenarios, service robots must adapt to dynamic environments and understand the required tasks while effectively co…
Hibikino-Musashi@Home 2024 Team Description Paper
Kosei Isomoto, Akinobu Mizutani, Fumiya Matsuzaki +25
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a…
ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields
Daiju Kanaoka, Motoharu Sonogashira, Hakaru Tamukoh +1
Novel view synthesis has recently made significant progress with the advent of Neural Radiance Fields (NeRF). DietNeRF is an extension of NeRF that aims to achieve this task from o…
Hibikino-Musashi@Home 2023 Team Description Paper
Tomoya Shiba, Akinobu Mizutani, Yuga Yano +25
This paper describes an overview of the techniques of Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset…
Hibikino-Musashi@Home 2022 Team Description Paper
Tomoya Shiba, Tomohiro Ono, Shoshi Tokuno +27
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in Japan in the Kitakyushu Science and Research Park. Since 2010, we have annually participated in the RoboC…