Search Results - "How, Dickson Neoh Tze"
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A review on modeling of flexible deformable object for dexterous robotic manipulation
Published in International Journal of Advanced Robotic Systems (01-05-2019)“…In this article, we present a review on the recent advancement in flexible deformable object modeling for dexterous manipulation in robotic system. Flexible…”
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Book Review Journal Article -
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Particle-based perception of garment folding for robotic manipulation purposes
Published in International journal of advanced robotic systems (26-12-2017)“…The research focuses on the development of a robust home service robot that is capable of doing multiple types of household chores. This work considers the…”
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Journal Article -
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Behavior recognition for humanoid robots using long short-term memory
Published in International journal of advanced robotic systems (26-10-2016)“…Learning from demonstration plays an important role in enabling robot to acquire new behaviors from human teachers. Within learning from demonstration, robots…”
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Journal Article -
4
Recognizing Malaysia Traffic Signs with Pre-Trained Deep Convolutional Neural Networks
Published in 2019 4th International Conference on Control, Robotics and Cybernetics (CRC) (01-09-2019)“…An essential component in the race towards the self-driving car is automatic traffic sign recognition. The capability to automatically recognize road signs…”
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Conference Proceeding -
5
Category Classification of Deformable Object using Hybrid Dynamic Model for Robotic Grasping
Published in 2019 4th International Conference on Control, Robotics and Cybernetics (CRC) (01-09-2019)“…This work studies the problem of classification of a hung garment in the unfolding procedure by a home service robot. The sheer number of unpredictable…”
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Conference Proceeding -
6
Parametrized 2D/3D Garment Model For Dexterous Robotic Manipulation
Published in 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) (01-12-2018)“…The home service robot becomes a new dominant challenge for robotic researches especially for the development of the smart home system. The home service robot…”
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Conference Proceeding -
7
A Dataglove Hardware Design and Real-Time Sign Gesture Interpretation
Published in 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) (01-12-2018)“…In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove…”
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Conference Proceeding -
8
Long Short-Term Memory in Recognizing Behavior Sequences on Humanoid Robot
Published in 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) (01-12-2018)“…In order for robots to learn more complex behaviors, recognizing primitive behaviors plays a fundamental role. Research has shown that the recognition of…”
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Conference Proceeding -
9
Character recognition of Malaysian vehicle license plate with deep convolutional neural networks
Published in 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (01-12-2016)“…This paper presents a vehicle license plate recognition method using deep convolutional neural networks. The focus of this paper is placed on the recognition…”
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Conference Proceeding -
10
Modeling of flexible deformable object for robotic manipulation
Published in 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (01-12-2016)“…This paper presents an approach to apply the different flexible deformable model for robotic application. This approach is to simulate the different kind of…”
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Conference Proceeding -
11
Multiple sequence behavior recognition on humanoid robot using long short-term memory (LSTM)
Published in 2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA) (01-12-2014)“…Recurrent neural networks (RNN) are powerful sequence learners. However, RNN suffers from the problem of vanishing gradient point. This fact makes learning…”
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Conference Proceeding -
12
Learning sufficient representation for spatio-temporal deep network using information filter
Published in 2014 IEEE/SICE International Symposium on System Integration (01-12-2014)“…This article introduced an improved spatio - temporal deep network based on information filter method for learning sufficient representation. The proposed…”
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Conference Proceeding