Outputs (176)

An OctoMap-based 3D CostMap (2022)
Presentation / Conference Contribution
Withey, D. J., & Matebese, B. T. (2021, November). An OctoMap-based 3D CostMap. Presented at 2021 Rapid Product Development Association of South Africa - Robotics and Mechatronics - Pattern Recognition Association of South Africa: Digital Manufacturing: Industrialising Africa, RAPDASA-RobMech-PRASA 2021, South Africa

The development of OctoMap created an efficient, discrete, three-dimensional (3D) mapping framework that has been very useful in autonomous robotics for representing occupied and free space in the robot's environment. This paper presents an OctoMap-b... Read More about An OctoMap-based 3D CostMap.

Sport-related back injury prevention with a wearable device (2022)
Journal Article
Jenkins, L., & Weerasekera, R. (2022). Sport-related back injury prevention with a wearable device. Journal of Biosensors and Bioelectronics, 11, Article 100202. https://doi.org/10.1016/j.biosx.2022.100202

There has been a high incidence rates (∼41%) of back injury from undertaking weightlifting exercises as a result of improper lifting posture, where the spine should remain straight during a lifting movement which is often not adopted correctly by ado... Read More about Sport-related back injury prevention with a wearable device.

Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference Contribution
Stentiford, R., Knowles, T. C., Feldoto, B., Ergene, D., Morin, F. O., & Pearson, M. J. (2022, July). Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform. Paper presented at Living Machines 2022, Case Western Reserve University, Cleveland, Ohio, United States

We present a neurorobotic model that can associate self motion (odometry) with vision to correct for drift in a spiking neural network model of head direction based closely on known rodent neurophys-iology. We use a deep predictive coding network to... Read More about Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform.

Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading (2022)
Journal Article
Damghani, M., Ali, R., Murphy, A., & Fotouhi, M. (2022). Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading. Thin-Walled Structures, 179(October 2022), 109752. https://doi.org/10.1016/j.tws.2022.109752

Previous works have established the response and failure behaviour of hybrid (CFRP-GFRP) laminates when subjected to a wide range of destabilising loads. However, to date no works have focused on plates with cut-outs under shear loading and quantifie... Read More about Experimental and numerical study of hybrid (CFRP-GFRP) composite laminates containing circular cut-outs under shear loading.

Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa (2022)
Presentation / Conference Contribution
Olisah, C., Smith, L. N., & Smith, M. L. (2022, July). Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa. Paper presented at 17th International Conference on Machine Learning and Data Mining MLDM 2022, New York, USA

Existing machine learning models for crop yield prediction model environmental data on the assumption that soil variables are unaffected by weather variables and therefore learn their intrinsic features independently. If the focus of crop yield predi... Read More about Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa.

Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty (2022)
Journal Article
Liu, X., Chang, H., Huang, P., & Lu, Z. (2023). Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty. IEEE Transactions on Aerospace and Electronic Systems, 59(2), 858-870. https://doi.org/10.1109/TAES.2022.3191293

Proximity operation can significantly improve the efficiency of eddy current de-tumbling. However, the tumbling motion and non-cooperation of space debris make the chaser execute collision avoidance maneuvers and be influenced by model uncertainty. I... Read More about Robust output-feedback predictive control for proximity eddy current de-tumbling with constraints and uncertainty.

Assessment of soft actuators for hand exoskeletons: Pleated textile actuators and fiber-reinforced Silicone actuators (2022)
Journal Article
Ramos, O., Múnera, M., Moazen, M., Wurdemann, H., & Cifuentes, C. A. (2022). Assessment of soft actuators for hand exoskeletons: Pleated textile actuators and fiber-reinforced Silicone actuators. Frontiers in Bioengineering and Biotechnology, 10, https://doi.org/10.3389/fbioe.2022.924888

Soft robotic approaches have been trialed for rehabilitation or assistive hand exoskeletons using silicone or textile actuators because they have more tolerance for alignment with biological joints than rigid exoskeletons. Textile actuators have not... Read More about Assessment of soft actuators for hand exoskeletons: Pleated textile actuators and fiber-reinforced Silicone actuators.

Physical human-robot interaction influence in ASD therapy through an affordable soft social robot (2022)
Journal Article
Pinto-Bernal, M. J., Cespedes, N., Castro, P., Munera, M., & Cifuentes, C. A. (2022). Physical human-robot interaction influence in ASD therapy through an affordable soft social robot. Journal of Intelligent and Robotic Systems, 105(3), Article 67. https://doi.org/10.1007/s10846-022-01617-0

In the latest years, there has been a rise in social robotics' interest as a support tool in various scopes. For instance, social robots have been used in Autism treatments, improving social skills, social interaction, and children's daily activities... Read More about Physical human-robot interaction influence in ASD therapy through an affordable soft social robot.

Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems (2022)
Journal Article
Ding, F., Huang, J., Xu, W., Yang, C., Sun, C., & Ai, Y. (2022). Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems. International Journal of Robust and Nonlinear Control, 32(14), https://doi.org/10.1002/rnc.6275

Underactuated systems are extensively utilized in practice while attracting a huge deal of attention in theoretical studies. There are few robust control strategies for general underactuated systems because of the variety of their dynamic models. A d... Read More about Dynamic surface control with a nonlinear disturbance observer for multi‐degree of freedom underactuated mechanical systems.

A review on the techniques used in prostate brachytherapy (2022)
Journal Article
Li, Y., Yang, C., Bahl, A., Persad, R., & Melhuish, C. (2022). A review on the techniques used in prostate brachytherapy. Cognitive Computation and Systems, 4(4), 317-328. https://doi.org/10.1049/ccs2.12067

Prostate brachytherapy is a validated treatment for prostate cancer. During the procedure, the accuracy of needle placement is critical to the treatment’s effectiveness. However, the inserted needle could deflect from the preset trajectory because of... Read More about A review on the techniques used in prostate brachytherapy.