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Tomoaki Nakamura

7 accepted papers

2022

Analysis of User Behavior and Workload During Simultaneous Tele-operation of Multiple Mobile Manipulators

IROS 2022poster

This paper discusses the tele-operation system for multiple mobile manipulators. If a single person could freely tele-operate multiple mobile manipulators simultaneously, it would be a great step toward the goal of “avatar-symbiotic society” allowing people to live beyond the constraints of their bo…

Cited by 1SourceScholar
2019

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes

IROS 2019poster

Humans perceive continuous high-dimensional information by dividing it into significant segments such as words and units of motion. We believe that such unsupervised segmentation is also important for robots to learn topics such as language and motion. To this end, we previously proposed a hierarchi…

Cited by 7SourceScholar
2018

Learning and Generation of Actions from Teleoperation for Domestic Service Robots

IROS 2018poster

In this paper, we propose a method for motion learning aimed at the execution of autonomous household chores by service robots in real environments. For robots to act autonomously in a real environment, it is necessary to define the appropriate actions for the environment. However, it is difficult t…

Cited by 12SourceScholar
2018

Learning and Generation of Actions from Teleoperation for Domestic Service Robots*This work was supported by JST, CREST

IROS 2018

In this paper, we propose a method for motion learning aimed at the execution of autonomous household chores by service robots in real environments. For robots to act autonomously in a real environment, it is necessary to define the appropriate actions for the environment. However, it is difficult t

Cited by 8SourceScholar
2018

Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process

IROS 2018poster

Humans recognize perceived continuous information by dividing it into significant segments such as words and unit motions. We believe that such unsupervised segmentation is also an important ability that robots need to learn topics such as language and motions. Hence, in this paper, we propose a met…

Cited by 19SourceScholar
2016

Online joint learning of object concepts and language model using multimodal hierarchical Dirichlet process

IROS 2016poster

One of the biggest challenges in intelligent robotics is to build robots that can learn to use language. To this end, we think that the practical long-term on-line concept/word learning algorithm for robots is a key issue to be addressed. In this paper, we develop an unsupervised on-line learning al…

Cited by 13SourceScholar
2015

Concept formation by robots using an infinite mixture of models

IROS 2015poster

We propose a method for a robot to form various concepts. The robot uses its embodiment to obtain visual, auditory, and haptic information by grasping, shaking, and observing objects. At the same time, a user teaches the robot object features through speech. From these kinds of information, the robo…

Cited by 21SourceScholar