8 citations · 10 across the 7 of their papers we have counts for
10 papers
Adaptive Question Generation for Ambiguous Robot Instructions Based on Information Gain and Human Cognitive Characteristics
Ryo Terashima, Yuga Yano, Hakaru Tamukoh
In this study, we propose an adaptive question generation mechanism that addresses uncertainty arising from ambiguous instructions. Natural-language instructions for service robots…
Real-Time Service Robot Replanning via Simple Button Interaction for Improved Task Success and User Experience
Ryo Terashima, Yuga Yano, Koshun Arimura +1
Service robots must respond to unexpected instructions in real-world environments. However, robots cannot detect all failures and exceptions during a task. To address these issues,…
Human-Centric Grasp State Assessment: Toward Transferring Subjective Evaluation to Robots
Ryohei Kobayashi, Kosei Isomoto, Yuga Yano +2
We propose a framework that transfers tacit human subjective criteria to robotic systems for the appropriate grasping of deformable objects. Achieving such behavior is challenging…
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…
Breaking the 15% Barrier: A Real-World Data-Driven System for Proactive Social Robot Triggered by User Nonverbal Cues
Yuga Yano, Yuki Okafuji, Ryo Miyoshi +2
Service robots in retail stores increasingly rely on cascaded speech pipelines (STT-LLM-TTS), yet many customer-robot interactions are initiated or guided by nonverbal behaviors su…
Hibikino-Musashi@Home 2025 Team Description Paper
Ryohei Kobayashi, Kosei Isomoto, Kosei Yamao +19
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 developed a dat…
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…
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…