95 citations · 273 across the 27 of their papers we have counts for
5 papers · 1 filter
Learning-from-Observation System Considering Hardware-Level Reusability
Jun Takamatsu, Kazuhiro Sasabuchi, Naoki Wake +2
Robot developers develop various types of robots for satisfying users' various demands. Users' demands are related to their backgrounds and robots suitable for users may vary. If a…
Interactive Task Encoding System for Learning-from-Observation
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi +2
We present the Interactive Task Encoding System (ITES) for teaching robots to perform manipulative tasks. ITES is designed as an input system for the Learning-from-Observation (LfO…
Deep Gesture Generation for Social Robots Using Type-Specific Libraries
Hitoshi Teshima, Naoki Wake, Diego Thomas +3
Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech more lively but also contain semantic meanin…
Design strategies for controlling neuron-connected robots using reinforcement learning
Haruto Sawada, Naoki Wake, Kazuhiro Sasabuchi +3
Despite the growing interest in robot control utilizing the computation of biological neurons, context-dependent behavior by neuron-connected robots remains a challenge. Context-de…
Task-grasping from human demonstration
Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake +3
A challenge in robot grasping is to achieve task-grasping which is to select a grasp that is advantageous to the success of tasks before and after grasps. One of the frameworks to…