All Outputs (24)

Using robots to understand animal cognition (2016)
Journal Article
Frohnwieser, A., Murray, J. C., Pike, T. W., & Wilkinson, A. (2016). Using robots to understand animal cognition. Journal of the Experimental Analysis of Behavior, 105(1), 14-22. https://doi.org/10.1002/jeab.193

In recent years, robotic animals and humans have been used to answer a variety of questions related to behavior. In the case of animal behavior, these efforts have largely been in the field of behavioral ecology. They have proved to be a useful tool... Read More about Using robots to understand animal cognition.

Extreme learning machine based approach for diagnosis and analysis of breast cancer (2016)
Journal Article
Iqbal, J., Tsagarakis, N., & Caldwell, D. (2016). Extreme learning machine based approach for diagnosis and analysis of breast cancer. Journal of the Chinese Institute of Engineers, 39(1), 74-78. https://doi.org/10.1080/02533839.2015.1082934

Due to the heterogeneous and complex nature of clinical data, the need to use sophisticated diagnosis techniques has increased significantly in recent years. The proposed approach for diagnosis of breast cancer exploits the potential of an extreme le... Read More about Extreme learning machine based approach for diagnosis and analysis of breast cancer.

Optimal v/s robust control: A study and comparison for articulated manipulator (2016)
Journal Article
Ajwad, S. A., Mehmood, A., Ullah, M. I., & Iqbal, J. (2016). Optimal v/s robust control: A study and comparison for articulated manipulator. Journal of the Balkan Tribological Association, 22(3), 2469-2475

Highly nonlinear and coupled dynamics of a robotic manipulator demands sophisticated control strategies. These strategies must have the ability to handle the uncertainties and external disturbances that can significantly deviate the system from its d... Read More about Optimal v/s robust control: A study and comparison for articulated manipulator.

Non-linear control law for articulated serial manipulators: Simulation augmented with hardware implementation (2016)
Journal Article
Ullah, M. I., Ajwad, S. A., Irfan, M., & Iqbal, J. (2016). Non-linear control law for articulated serial manipulators: Simulation augmented with hardware implementation. Elektronika Ir Elektrotechnika, 22(1), 3-7. https://doi.org/10.5755/j01.eee.22.1.14094

The performance of a robotic arm includes accuracy, repeatability and reliability to accomplish a task. These parameters, in turn, are function of associated control law. Multi-Degree Of Freedom (DOF) robotic arms, because of their inherent highly no... Read More about Non-linear control law for articulated serial manipulators: Simulation augmented with hardware implementation.