research
∙
08/30/2023
Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model
The application of the Large Language Model (LLM) to robot action planni...
share
research
∙
06/26/2023
Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics
A deep learning-based approach can generalize model performance while re...
research
∙
03/08/2022
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data
This study achieved bidirectional translation between descriptions and a...
research
∙
10/30/2021
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance los
The training data distribution is often biased towards objects in certai...
research
∙
10/03/2021
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm
Stream-based active learning (AL) is an efficient training data collecti...
research
∙
04/17/2021
Embodying Pre-Trained Word Embeddings Through Robot Actions
We propose a promising neural network model with which to acquire a grou...
research
∙
03/17/2021
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
In this study, we report the successful execution of in-air knotting of ...
research
∙
01/18/2021
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask
In recent years, a variety of tasks have been accomplished by deep reinf...
research
∙
03/31/2020
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Japanese character figurines are popular and have pivot position in Otak...
research
∙
03/12/2020
A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
It is a big problem that a model of deep learning for a picking robot ne...
research
∙
03/10/2020
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network
For robotic applications, its task performance and operation must be gua...
research
∙
03/08/2020
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach
Self-supervised learning methods are attractive candidates for automatic...
research
∙
12/14/2017
