Intelligent Robotics and Control Systems
The world of robotics has now moved on to developing mobile robots with navigational intelligence and scene interpretation ability so that they can interact with their environment and efficiently execute a task.
Robotics And Machine Intelligence (ROMI)
Welcome to ROMI
The ROMI Research group at NUST SEECS
Industrial robots have revolutionized industry during the last couple of decades. The world of robotics has now moved on to developing mobile robots with navigational intelligence and scene interpretation ability so that they can interact with their environment and efficiently execute a task.
- The robotics today is a combination of navigational intelligence (that includes localization, mapping, SLAM, path planning etc) and computer vision based scene interpretation.
- These research areas continue to attract researchers and there are many challenges to be solved before we can see a truly autonomous mobile agent capable to navigating on its own interacting with its environment.
Meet our TeamCollaborative Minds
Collaborative Minds
Introducing Our Team
Dr. Latif Anjum
Lab Director
Dr. Wajahat Hussain
Lab Director
Research
Funded Projects
Publications
Current Thesis
Funded Projects
- Anjum, M . L . , Rosa, S . , & Bona, B . ( 2017 in press) . Tracking a Subset of Skeleton Joints – An Effective Approach Complex Human Activity Recognition . In Journal of Robotics .
- Anjum, M . L . , Ahmad, O . , Rosa, S . , Yin, J . , & Bona, B . ( 2014 ) . Skeleton Tracking Based Complex Human Activity Recognition Using Kinect Camera . In Social Robotics (pp . 23 – 33 ) . LNAI – 8755 , Springer International Publishing .
- Anjum, M . L . , Ahmad, O . , Bona, B . , & Cho, D . I . ( 2014 ) . Sensor Data Fusion Using Unscented Kalman Filter for VOR – Based Vision Tracking System for Mobile Robots . In Towards Autonomous Robotic Systems (pp . 103 – 113 ), LNAI – 8069 , Springer Berlin Heidelberg .
- Yin, J . , Carlone , L . , Rosa, S . , Anjum, M . L . , & Bona, B . ( 2014 ) . Scan Matching for Graph SLAM in Indoor Dynamic Scenarios . In The 27 th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS – 27 ), (pp . 418 – 423 ) . Florida, USA .
- Ahmad, O . , Bona, B . , Anjum, M . L . , & Khosa , I . ( 2014 ) . Using Time Proportionate Intensity Images with Non – linear Classifiers for Hand Gesture Recognition . In The 8 th International Conference on Robotic, Vision, Signal Processing & Power Applications, (ROVISP – 2013 ), Penang, Malaysia . (pp . 343 – 354 ) . Springer Singapore .
- Anjum, M . L . , Park, J . , Hwang, W . , Kwon, H . I . , Kim, J . H . , Lee, & Cho, D . I . ( 2010 ) . Sensor data fusion using unscented Kalman filter for accurate localization of mobile robots . In IEEE International Conference on Control Automation and Systems (ICCAS – 2010 ), (pp . 947 – 952 ) . Seoul, South Korea .
- Park, J . , Hwang, W . , Kwon, H . I . , Kim, J . H . , Lee, C . H . , Anjum, M . L . , & Cho, D . I . ( 2010 ) . High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter . In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS – 2010 ), (pp . 3778 – 3783 ) . Taipei, Taiwan .
- Park, J . , Hwang, W . , Kwon, H . I . , Kim, J . H . , Lee, C . H . , Anjum, M . L . , & Cho, D . I . ( 2010 ) . High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter . In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS – 2010 ), (pp . 3778 – 3783 ) . Taipei, Taiwan .
- Kwon, H . I . , Park, J . , Hwang, W . , Kim, J . H . , Lee, C . H . , Anjum, M . L . , & Cho, D . I . ( 2010 ) . Sensor data fusion using fuzzy control for VOR – based vision tracking system . In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS – 2010 ), (pp . 2920 – 2925 ) . Taipei, Taiwan .
- Hwang, W . , Park, J . , Kwon, H . I . , Anjum, M . L . , Kim, J . H . , Lee, C . , & Cho, D . I . D . ( 2010 ) . Vision tracking system for mobile robots using two Kalman filters and a slip detector . In IEEE International Conference on Control Automation and Systems (ICCAS – 2010 ), (pp . 2041 – 2046 ) . Seoul, South Korea .
- Shim, E . S . , Hwang, W . , Anjum, M . L . , Kim, H . S . , Park, K . S . , Kim, K . , & Cho, D . I . D . ( 2009 ) . Stable vision system for indoor moving robot using encoder information . In Robot Control (Vol . 9 , No . 1 ), (pp . 50 – 55 ), The International Federation of Automatic Control (IFAC) .
Publications
2023
- U. Shafi, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Zahid Mahmood, Sikander Khan Tanveer, Ihsan Ul Haq, Syed Mohammad Hassan Zaidi, “Embedded AI for Wheat Yellow Rust Infection Type Classification,” in IEEE Access, pp: 1-13, March 2023, IF: 3.476 doi: 10.1109/ACCESS.2023.3254430
- Muhammad Naqi Haider, Rafia Mumtaz, Syed Muhammad Hassan Zaidi, Crime Classification Using Machine Learning and Data Analytic, 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), December 19-21, 2022 [Published on IEEE explorer, 23rd January, 2023]
- Syed Mohammad Hassan Zaidi, Muhammad Annas Khan, Maham Iftikhar, Rafia Mumtaz, Parsa Rukhsar, Hafiza Zunera, Muhammad Abdul Aleem, “Quantum Internet: A Revolutionary Disruption”, 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), December 19-21, 2022 [Published on IEEE explorer, 23rd January, 2023]
- Uferah Shafi, Rafia Mumtaz, Zahid Mahmood, Muhammad Deedahwar Mazhar Qureshi, Raza Ullah Khan, Syed Ishtiaq Hyder and Sikander Khan Tanveer, [Accepted and presented] Assessment of Wheat Productivity Enhancement by Integrated Nutrient Management (INM) using Remote Sensing, IEEE International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 2023
Current Thesis
- Human robot interaction for two way navigational instructions
- real-time mapping, localization and path planning for mobile robots
- Adversarial examples for visual odometry
- Loop closure for visual slam in dynamic environment
- Robot that learns from own experience
- Revisiting marconi kites
- Nano drones for precision agriculture
- Robot that learns from youtube videos