95 citations · 196 across the 23 of their papers we have counts for
5 papers · 1 filter
Understanding Action Sequences based on Video Captioning for Learning-from-Observation
Iori Yanokura, Naoki Wake, Kazuhiro Sasabuchi +2
Learning actions from human demonstration video is promising for intelligent robotic systems. Extracting the exact section and re-observing the extracted video section in detail is…
Labeling the Phrases of a Conversational Agent with a Unique Personalized Vocabulary
Naoki Wake, Machiko Sato, Kazuhiro Sasabuchi +2
Mapping spoken text to gestures is an important research topic for robots with conversation capabilities. According to studies on human co-speech gestures, a reasonable solution fo…
Grasp-type Recognition Leveraging Object Affordance
Naoki Wake, Kazuhiro Sasabuchi, Katsushi Ikeuchi
A key challenge in robot teaching is grasp-type recognition with a single RGB image and a target object name. Here, we propose a simple yet effective pipeline to enhance learning-b…
A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
Naoki Wake, Riku Arakawa, Iori Yanokura +4
A household robot is expected to perform various manipulative operations with an understanding of the purpose of the task. To this end, a desirable robotic application should provi…
Verbal Focus-of-Attention System for Learning-from-Observation
Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi +1
The learning-from-observation (LfO) framework aims to map human demonstrations to a robot to reduce programming effort. To this end, an LfO system encodes a human demonstration int…