All Outputs (40)

Unfalsified visual servoing for simultaneous object recognition and pose tracking (2016)
Journal Article
Jiang, P., Cheng, Y., Wang, X., & Feng, Z. (2016). Unfalsified visual servoing for simultaneous object recognition and pose tracking. IEEE Transactions on Cybernetics, 46(12), 3032-3046. https://doi.org/10.1109/TCYB.2015.2495157

In a complex environment, simultaneous object recognition and tracking has been one of the challenging topics in computer vision and robotics. Current approaches are usually fragile due to spurious feature matching and local convergence for pose dete... Read More about Unfalsified visual servoing for simultaneous object recognition and pose tracking.

Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot (2016)
Journal Article
Biswas, M., & Murray, J. (2016). Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot. International journal of artificial life research, 6(1), 1-29. https://doi.org/10.4018/ijalr.2016010101

The research presented in the paper aims to develop long-term companionship between cognitively imperfect robots and humans. In order to develop cognitively imperfect robot, the research suggests to implement various cognitive biases in a robot's int... Read More about Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot.

Opportunities and challenges in control of smart grids – Pakistani perspective (2016)
Journal Article
Irfan, M., Iqbal, J., Iqbal, A., Iqbal, Z., Riaz, R. A., & Mehmood, A. (2017). Opportunities and challenges in control of smart grids – Pakistani perspective. Renewable & sustainable energy reviews, 71, 652-674. https://doi.org/10.1016/j.rser.2016.12.095

With the advancement in technologies, the power requirement around the globe is tremendously increasing, putting extra loads on grids. The existing grids cannot bear that load and also do not provide the interface with Distributed Renewable Energy So... Read More about Opportunities and challenges in control of smart grids – Pakistani perspective.

Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy (2016)
Journal Article
Ilyas, M., Khaqan, A., Iqbal, J., & Riaz, R. A. (2017). Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy. Brazilian Journal of Anesthesiology, 67(2), 122-130. https://doi.org/10.1016/j.bjan.2016.12.005

Continuous adjustment of Propofol in manual delivery of anesthesia for conducting a surgical procedure overburdens the workload of an anesthetist who is working in a multi‐tasking scenario. Going beyond manual administration and Target Controlled Inf... Read More about Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy.

Constraint programming for type inference in flexible model-driven engineering (2016)
Journal Article
Kolovos, D. S., Paige, R. F., Clariso, R., Matragkas, N., Clarisó, R., Kolovos, D., Paige, R., & Zolotas, A. (2017). Constraint programming for type inference in flexible model-driven engineering. Computer languages, systems & structures, 49, 216-230. https://doi.org/10.1016/j.cl.2016.12.002

Domain experts typically have detailed knowledge of the concepts that are used in their domain; however they often lack the technical skills needed to translate that knowledge into model-driven engineering (MDE) idioms and technologies. Flexible or b... Read More about Constraint programming for type inference in flexible model-driven engineering.

Flexible joint robotic manipulator: Modeling and design of robust control law (2016)
Presentation / Conference Contribution
Aziz, H. M. W., & Iqbal, J. (2016). Flexible joint robotic manipulator: Modeling and design of robust control law. In 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI) (63-68). https://doi.org/10.1109/ICRAI.2016.7791230

This paper presents modeling and sophisticated control of a single Degree Of Freedom (DOF) flexible robotic arm. The derived model is based on Euler-Lagrange approach while the first and second order (super twisting) Sliding Mode Control (SMC) is pro... Read More about Flexible joint robotic manipulator: Modeling and design of robust control law.

A centralized architecture for inventory management using RFID (2016)
Presentation / Conference Contribution
Zohaib, M., Pasha, S. M., Hassan, Z., & Iqbal, J. (2016). A centralized architecture for inventory management using RFID. In 2nd International Conference on Robotics and Artificial Intelligence (ICRAI 2016) (118-123). https://doi.org/10.1109/ICRAI.2016.7791239

The paper presents Radio Frequency Identification (RFID) based solution for inventory management reported by the researchers in various case studies of warehouses. Limitations and challenges faced by companies in monitoring and managing inventory are... Read More about A centralized architecture for inventory management using RFID.

Sliding mode control of rigid-link anthropomorphic robotic arm (2016)
Presentation / Conference Contribution
Ajwad, S. A., Islam, R. U., Azam, M. R., Ullah, M. I., & Iqbal, J. (2016). Sliding mode control of rigid-link anthropomorphic robotic arm. In 2nd International Conference on Robotics and Artificial Intelligence (ICRAI 2016) (75-80). https://doi.org/10.1109/ICRAI.2016.7791232

Increasing demands of accuracy, productivity, reliability and repeatability in today's robotic applications have highlighted significance of modern control techniques. The associated control law must be able to handle perturbation forces, joint frict... Read More about Sliding mode control of rigid-link anthropomorphic robotic arm.

Towards autonomy in agriculture: Design and prototyping of a robotic vehicle with seed selector (2016)
Presentation / Conference Contribution
Hassan, M. U., Ullah, M., & Iqbal, J. (2016). Towards autonomy in agriculture: Design and prototyping of a robotic vehicle with seed selector. In 2nd International Conference on Robotics and Artificial Intelligence (ICRAI 2016) (37-44). https://doi.org/10.1109/ICRAI.2016.7791225

Traditional method of seeding by farmers demands laborious work and is now becoming story of the past. Technological revolution in mechatronics and allied areas is reshaping the agricultural processes, making the robots an integral part of this autom... Read More about Towards autonomy in agriculture: Design and prototyping of a robotic vehicle with seed selector.

The potential role of renewable energy sources in robot's power system: A case study of Pakistan (2016)
Journal Article
Iqbal, J., & Khan, Z. H. (2017). The potential role of renewable energy sources in robot's power system: A case study of Pakistan. Renewable & sustainable energy reviews, 75, 106-122. https://doi.org/10.1016/j.rser.2016.10.055

The domain of ‘robotics’ is undergoing a major transformation in dimension as well as scope. Recent advances in various disciplines of technology have revolutionized this domain at an incredible pace far beyond the contemporary state of the art. High... Read More about The potential role of renewable energy sources in robot's power system: A case study of Pakistan.

Flexible learning in computer science (2016)
Journal Article
Gordon, N. A. (2016). Flexible learning in computer science. New Directions in the Teaching of Physical Sciences, 11(1), https://doi.org/10.29311/ndtps.v0i11.575

This paper outlines the concept of Flexible Pedagogy and how it can assist in addressing some of the issues facing STEM disciplines in general, and Computer Science in particular. The paper considers what flexible pedagogy is and how technologies dev... Read More about Flexible learning in computer science.

Supporting custom quality models to analyse and compare open-source software (2016)
Presentation / Conference Contribution
Ruscio, D. D., Di Ruscio, D., Kolovos, D. S., Korkontzelos, Y., Matragkas, N., & Vinju, J. (2016, September). Supporting custom quality models to analyse and compare open-source software. Presented at 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)

© 2016 IEEE. The analysis and comparison of open source software can be improved by means of quality models supporting the evaluation of the software systems being compared and the final decision about which of them has to be adopted. Since software... Read More about Supporting custom quality models to analyse and compare open-source software.

The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots (2016)
Journal Article
Biswas, M., & Murray, J. (2017). The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots. Cognitive systems research, 43, 266-290. https://doi.org/10.1016/j.cogsys.2016.07.007

© 2016 Elsevier B.V. The research presented in this paper demonstrates a model for aiding human-robot companionship based on the principle of ‘human’ cognitive biases applied to a robot. The aim of this work was to study how cognitive biases can affe... Read More about The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots.

Using motivation derived from computer gaming in the context of computer based instruction (2016)
Presentation / Conference Contribution
Brayshaw, M., & Gordon, N. (2016, July). Using motivation derived from computer gaming in the context of computer based instruction. Presented at 2016 SAI Computing Conference (SAI), London, United Kingdom

This paper was originally presented at the IEEE Technically Sponsored SAI Computing Conference 2016, London, 13-15 July 2016. Abstract— this paper explores how to exploit game based motivation as a way to promote engagement in computer-based instruct... Read More about Using motivation derived from computer gaming in the context of computer based instruction.

Action adaptation during natural unfolding social scenes influences action recognition and inferences made about actor beliefs (2016)
Journal Article
Keefe, B. D., Wincenciak, J., Jellema, T., Ward, J. W., & Barraclough, N. E. (2016). Action adaptation during natural unfolding social scenes influences action recognition and inferences made about actor beliefs. Journal of Vision, 16(9), 1-20. https://doi.org/10.1167/16.9.9

When observing another individual's actions, we can both recognize their actions and infer their beliefs concerning the physical and social environment. The extent to which visual adaptation influences action recognition and conceptually later stages... Read More about Action adaptation during natural unfolding social scenes influences action recognition and inferences made about actor beliefs.

Auto-parameterized shape grammar for constructing Islamic geometric motif-based structures (2016)
Book Chapter
Sayed, Z., Ugail, H., Palmer, I., Purdy, J., & Reeve, C. (2016). Auto-parameterized shape grammar for constructing Islamic geometric motif-based structures. In A. Sourin, M. Gavrilova, & C. Tan (Eds.), Lecture Notes in Computer Science; Transactions on Computational Science XXVIII (146-162). (Special Issue on Cyberworlds and Cybersecurity). Springer Verlag. https://doi.org/10.1007/978-3-662-53090-0_8

The complex formation of Islamic Geometric Patterns (IGP) is one of the distinctive features in Islamic art and architecture. Many have attempted to reproduce these patterns in digital form, using various pattern generation techniques, in 2D. Shape g... Read More about Auto-parameterized shape grammar for constructing Islamic geometric motif-based structures.

CofiFab: Coarse-to-fine fabrication of large 3D objects (2016)
Presentation / Conference Contribution
Song, P., Deng, B., Wang, Z., Dong, Z., Li, W., Fu, C.-W., & Liu, L. (2016). CofiFab: Coarse-to-fine fabrication of large 3D objects. ACM Transactions on Graphics, 35(4), 1-11. https://doi.org/10.1145/2897824.2925876

This paper presents CofiFab, a coarse-to-fine 3D fabrication solution, which combines 3D printing and 2D laser cutting for cost-effective fabrication of large objects at lower cost and higher speed. Our key approach is to first build coarse internal... Read More about CofiFab: Coarse-to-fine fabrication of large 3D objects.

IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies (2016)
Journal Article
Baizid, K., Ćuković, S., Iqbal, J., Yousnadj, A., Chellali, R., Meddahi, A., …Ghionea, I. (2016). IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies. Robotics and Computer-Integrated Manufacturing, 42, 121-134. https://doi.org/10.1016/j.rcim.2016.06.003

This paper presents Industrial Robotics Simulation Design Planning and Optimization platform named IRoSim, which is based on SolidWorks Application Programming Interface (API) to offer an intuitive and convertible environment for designing and simula... Read More about IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies.

Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm (2016)
Journal Article
Visvalingam, M., & Whelan, J. C. (2016). Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm. The Cartographic journal, 53(3), 253-267. https://doi.org/10.1080/00087041.2016.1149906

Visvalingam's algorithm was designed for caricatural line generalization. A distinction must be made between the algorithm and its operational definition, which includes the metric used to drive it. When the algorithm was first introduced, it was dem... Read More about Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm.

Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data (2016)
Journal Article
Davis, D., & Rahman, M. (2016). Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data. Journal of Informatics and Data Mining, 1(2), Article 13. https://doi.org/10.21767/2472-1956.100013

Legacy (and current) medical datasets are rich source of information and knowledge. However, the use of most legacy medical datasets is beset with problems. One of the most often faced is the problem of missing data, often due to oversights in data c... Read More about Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data.