21 citations · 61 across the 19 of their papers we have counts for
4 papers · 1 filter
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…