Zobrazeno 61 - 70
of 89
pro vyhledávání: '"Junpei Zhong"'
Publikováno v:
ResearcherID
IJCNN
IJCNN
The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action. We propose a neural architecture in which such regularities of active infere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0b4a6618fac8dd144aa5c6fccb6c57
Publikováno v:
Complexity, Vol 2018 (2018)
Publikováno v:
ICDL-EPIROB
Understanding and grounding human commands with natural languages have been a fundamental requirement for service robotic applications. Although there have been several attempts toward this goal, the bottleneck still exists to store and process the c
Publikováno v:
ICNC-FSKD
Sentiment classification for product reviews is of great significance for business feedback for manufactures, sellers and users. However, since a large amount of training data for a specific product domain is not always available, transfer learning i
Publikováno v:
2017 9th International Conference on Modelling, Identification and Control (ICMIC).
In this paper, a dual arm control method in a tele-operation system is introduced. For a bimanual robot, moving a common object precisely requires real-time cooperation between the two arms. In such conditions the force interaction including the inte
Publikováno v:
2017 9th International Conference on Modelling, Identification and Control (ICMIC).
Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant, which is a complex and time-consuming exercise. In this paper, we propose a novel method based on teleoperation which allows a demonstrator to train
Publikováno v:
IJCNN
ResearcherID
ResearcherID
The abstraction tasks are challenging for multi- modal sequences as they require a deeper semantic understanding and a novel text generation for the data. Although the recurrent neural networks (RNN) can be used to model the context of the time-seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86fc75fc9003cb513cf916d5ff6c14b
Publikováno v:
Complexity, Vol 2017 (2017)
Skill learning autonomously through interactions with the environment is a crucial ability for intelligent robot. A perception-action integration or sensorimotor cycle, as an important issue in imitation learning, is a natural mechanism without the c
Publikováno v:
Sensors & Materials; 4/10/2020, Vol. 32 Issue 4, Part 1, p1261-1277, 17p
Publikováno v:
International Journal of Control, Automation and Systems. 8:519-526
Particle Filter (PF) is a sophisticated model estimation technique based on simulation. Due to the natural limitations of PF, two problems, namely particle impoverishment and sample size dependency, frequently occur during the particles updating stag