Search Results - "How, Dickson Neoh Tze"

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  1. 1

    A review on modeling of flexible deformable object for dexterous robotic manipulation by Hou, Yew Cheong, Sahari, Khairul Salleh Mohamed, How, Dickson Neoh Tze

    “…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
  2. 2

    Particle-based perception of garment folding for robotic manipulation purposes by Hou, Yew Cheong, Mohamed Sahari, Khairul Salleh, Weng, Leong Yeng, How, Dickson Neoh Tze, Seki, Hiroaki

    “…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
  3. 3

    Behavior recognition for humanoid robots using long short-term memory by How, Dickson Neoh Tze, Loo, Chu Kiong, Sahari, Khairul Salleh Mohamed

    “…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. 4

    Recognizing Malaysia Traffic Signs with Pre-Trained Deep Convolutional Neural Networks by Neoh Tze How, Dickson, Sahari, Khairul Salleh Mohamed, Hou, Yew Cheong, Basubeit, Omar Gumaan Saleh

    “…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. 5

    Category Classification of Deformable Object using Hybrid Dynamic Model for Robotic Grasping by Cheong Hou, Yew, Mohamed Sahari, Khairul Salleh, Tze How, Dickson Neoh, Yeng Weng, Leong

    “…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. 6

    Parametrized 2D/3D Garment Model For Dexterous Robotic Manipulation by Yew, Cheong Hou, Sahari, Khairul Salleh Mohamed, Dickson Neoh, Tze How

    “…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. 7

    A Dataglove Hardware Design and Real-Time Sign Gesture Interpretation by Tze How, Dickson Neoh, Fahmi Bin Wan Ibrahim, Wan Zul, Mohamed Sahari, Khairul Salleh

    “…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. 8

    Long Short-Term Memory in Recognizing Behavior Sequences on Humanoid Robot by Tze How, Dickson Neoh, Sahari, Khairul Salleh Mohamed, Kiong, Loo Chu

    “…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. 9

    Character recognition of Malaysian vehicle license plate with deep convolutional neural networks by How, Dickson Neoh Tze, Sahari, Khairul Salleh Mohamed

    “…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. 10

    Modeling of flexible deformable object for robotic manipulation by Yew Cheong Hou, Sahari, Khairul Salleh Mohamed, How, Dickson Neoh Tze

    “…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. 11

    Multiple sequence behavior recognition on humanoid robot using long short-term memory (LSTM) by How, Dickson Neoh Tze, Sahari, Khairul Salleh Mohamed, Hu Yuhuang, Loo Chu Kiong

    “…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. 12

    Learning sufficient representation for spatio-temporal deep network using information filter by Yuhuang Hu, Neoh, Dickson Tze How, Sahari, Khairul Salleh Mohamed, Chu Kiong Loo

    “…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