Research

Nazrul’s paper presented at UR 2023

Nazrul’s paper with the title “Optimizing Odometry Accuracy through Temporal Information in Self-Supervised Deep Networks” has been accepted and presented at the 20th International Conference on Ubiquitous Robots (UR 2023) held in the Hawai’i Convention Center, Honolulu, Hawaii. In this paper, we propose a self-supervised deep recurrent convolutional network with a self-attention pipeline for LiDAR-Inertial …

Nazrul’s paper presented at UR 2023 Read More »

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 …

Research assistant position for human activities discovery project Read More »

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 …

Hafiq presented his paper at RiTA 2021 Read More »

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 …

Amran’s paper received Best Paper Award at ICEBEHI 2021 Read More »

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 …

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

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 …

Mateen’s paper presented in BDIOT 2018 at Beijing Read More »