Research

Hafiq’s DRL-based robot is doing well in crowd navigation

Hafiq’s Deep Reinforcement Learning-based robot is doing well in crowd navigation. The DRL model was trained in one crowd setting and tested in different unseen crowd settings. In simulation, we have tested with up to 12 moving obstacles at a speed close to the robot. In real-world, we have tested with 4 obstacles at a …

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Research assistant position for human activities discovery project

We are hiring a full-time research assistant (RA) for our human activities discovery project. The work should start in Jan 2023. . The RA will implement the software system we have developed for unsupervised human activity discovery on a Turtlebot 2 mobile robot. This will involve integrating the software system alongside the Navigation stack in …

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Hafiq presented his paper at RiTA 2021

Hafiq presented his initial work in his MSc at the 9th International Conference on Robot Intelligence Technology and Applications (RiTA 2021). The conference is a hybrid one with on-site and virtual participation. We attended the conference virtually. Hafiq’s paper is “Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation”. Abstract. This …

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Amran’s paper received Best Paper Award at ICEBEHI 2021

Congratulations to Amran! His paper “Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery” received the Gold Award in General Electronic Category at the second International Conference on Electronics, Biomedical Engineering and Health Informatics (ICEBEHI) 2021. Amran presented the paper virtually held on 3-4 November 2021. Abstract. Human activity recognition has been considered …

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SLAM has been implemented on the Wanderer-v1

Amirul has implemented the Simultaneous Localization And Mapping (SLAM) on our Wanderer-v1 robot. The implementation was done from scratch involving writing Python scripts for the kinematics, motion and sensor models, particle filter for localization and A-star search for path planning. Details of the project is available here.

Bacha’s paper on hybrid margin-based ROI face detection has been published in Visual Computing

Bacha‘s paper on “Face detection and tracking using hybrid margin-based ROI techniques” has been published in Springer’s journal Visual Computing. Congratulations to Bacha! This study is to solve the problem of low accuracy and slow processing speed for real-time face detection and tracking systems. A margin-based region of interest approach with fixed and dynamic margin …

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Mateen’s paper presented in BDIOT 2018 at Beijing

Mateen‘s paper on “Implementation and Evaluation of IoT System Using Cloud Storage Platform” has been accepted in the 2nd International Conference on Big Data and Internet of Things (BDIOT 2018). Abstract. As the internet has become more accessible, the use of Internet of Things (IoT) systems is increasing. An IoT system can be accessed either …

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Bacha’s paper presented in ICISPC 2018 at Kuala Lumpur

Bacha‘s paper on “Using Margin-based Region of Interest Technique with Multi-Task Convolutional Neural Network and Template Matching for Robust Face Detection and Tracking System ” has been accepted in the 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC 2018). The paper was presented at the conference in KL. The presentation received the Best …

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