Visualising Compliance of Composite Shell Mechanisms
(2020)
Conference Proceeding
Stacey, J., O'Donnell, M. P., Schenk, M., & Kim, C. J. (2020). Visualising Compliance of Composite Shell Mechanisms. In Proceedings of the ASME 2020 International Design Engineering Technical Conferences \& Computers and Information in Engineering Conference (IDETC/CIE 2020)
All Outputs (32)
ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time (2020)
Conference Proceeding
Wells, O., Pipe, T., Dogramadzi, S., & Studley, M. (2020). ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time. In Towards Autonomous Robotic Systems (287-298). https://doi.org/10.1007/978-3-030-63486-5_30Force feedback in current teleoperation systems typically only provides haptic/kinaesthetic feedback to operators in the form of normal forces. However, it is proposed in this paper that the introduction of shear (or lateral) force feedback to operat... Read More about ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time.
One-shot 3D printed underactuated gripper (2020)
Conference Proceeding
Cormack, J., Fotouhi, M., Adams, G., & Pipe, A. (2020). One-shot 3D printed underactuated gripper. In A. Mohammad, X. Dong, & M. Russo (Eds.), Towards Autonomous Robotic Systems (400-404). https://doi.org/10.1007/978-3-030-63486-5_41Underactuated gripping mechanisms allow a wide range of objects to be grasped, with relatively simple control and input. Current 3D printed underactuated grippers are often composed of multiple parts that need assembly before use. Consolidating many... Read More about One-shot 3D printed underactuated gripper.
Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rig (2020)
Conference Proceeding
Sabau, P., Chong, J. J., Jafari, A., Agrawal, S., Semasinghe, C., & Etoundi, A. (2020). Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rig. https://doi.org/10.23919/iccas50221.2020.9268404In the past century many medical advancements in prosthetics have been achieved, however, discomfort in prosthetic socket remains one of the toughest challenges faced by both amputees and prosthetists. Wearing an uncomfortable socket can lead to user... Read More about Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rig.
Hardware design for autonomous robot evolution (2020)
Conference Proceeding
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Goff, L. K. L., …Tyrrell, A. M. (2020). Hardware design for autonomous robot evolution. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2140-2147). https://doi.org/10.1109/ssci47803.2020.9308204The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition of evolutionary designs from purely simulation environments into... Read More about Hardware design for autonomous robot evolution.
Evolution of diverse, manufacturable robot body plans (2020)
Conference Proceeding
Buchanan, E., Goff, L. K. L., Hart, E., Eiben, A. E., Carlo, M. D., Li, W., …Tyrrell, A. M. (2020). Evolution of diverse, manufacturable robot body plans. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (2132-2139). https://doi.org/10.1109/ssci47803.2020.9308434Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new... Read More about Evolution of diverse, manufacturable robot body plans.
A probabilistic shared-control framework for mobile robots (2020)
Conference Proceeding
Gholami, S., Garate, V. R., De Momi, E., & Ajoudani, A. (2020). A probabilistic shared-control framework for mobile robots. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (11473-11480). https://doi.org/10.1109/IROS45743.2020.9341064Full teleoperation of mobile robots during the execution of complex tasks not only demands high cognitive and physical effort but also generates less optimal trajectories compared to autonomous controllers. However, the use of the latter in cluttered... Read More about A probabilistic shared-control framework for mobile robots.
A shared-autonomy approach to goal detection and navigation control of mobile collaborative robots (2020)
Conference Proceeding
Gholami, S., Ruiz Garate, V., De Momi, E., & Ajoudani, A. (in press). A shared-autonomy approach to goal detection and navigation control of mobile collaborative robots. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (1026-1032). https://doi.org/10.1109/ro-man47096.2020.9223583Autonomous goal detection and navigation control of mobile robots in remote environments can help to unload human operators from simple, monotonous tasks allowing them to focus on more cognitively stimulating actions. This can result in better task p... Read More about A shared-autonomy approach to goal detection and navigation control of mobile collaborative robots.
Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis (2020)
Conference Proceeding
Settoul, S., Chenni, R., Zellagui, M., & Nouri, H. (2021). Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis. In S. Bououden, M. Chadli, S. Ziani, & I. Zelinka (Eds.), https://doi.org/10.1007/978-981-15-6403-1_35A new method for optimal integration of renewable energy sources based on photovoltaic solar panels and wind turbines in the distribution network is presented with the objective of reducing the Active Power Loss (APL) index, to improve the Total Volt... Read More about Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis.
Design of a virtual testing platform for assessing prosthetic knee joints (2020)
Conference Proceeding
Hoh, S., Chong, J., & Etoundi, A. C. (2020). Design of a virtual testing platform for assessing prosthetic knee joints. In 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM). , (576-581). https://doi.org/10.1109/icarm49381.2020.9195275This paper presents a mathematical and dynamic model for a testing platform designed to assess the performances of a wide range of artificial knee joints (prosthetic and robotic devices) based on the analysis of motion of lower limbs. Fundamental equ... Read More about Design of a virtual testing platform for assessing prosthetic knee joints.
Using FFF and topology optimisation to increase crushing strength in equestrian helmets (2020)
Conference Proceeding
Soe, S., Robinson, M., Gaisin, K., Adams, R., Palkowski, T., & Theobald, P. (2021). Using FFF and topology optimisation to increase crushing strength in equestrian helmets. In S. Scholz, R. Howlett, & R. Setchi (Eds.), Sustainable Design and Manufacturing 2020. , (369-377). https://doi.org/10.1007/978-981-15-8131-1_33International standards ensure that equestrian helmets achieve high performance. Recently, one such standard (PAS 015) was revised to include a lateral deformation requirement, ensuring helmets can withstand the potential crushing forces associated w... Read More about Using FFF and topology optimisation to increase crushing strength in equestrian helmets.
The effect of heat treatment of AlSi10Mg on the energy absorption performance of surface-based structures (2020)
Conference Proceeding
Robinson, M., Han, Q., Gu, H., Soe, S., & Setchi, R. (2021). The effect of heat treatment of AlSi10Mg on the energy absorption performance of surface-based structures. In S. Scholz, R. Howlett, & R. Setchi (Eds.), Sustainable Design and Manufacturing 2020. , (395-402). https://doi.org/10.1007/978-981-15-8131-1_35Additive Manufacturing of cellular lattice structures offers opportunities to fine-tune the mechanical response by altering geometric variables. It is known that heat treatment cycles provide an effective way of altering mechanical properties while r... Read More about The effect of heat treatment of AlSi10Mg on the energy absorption performance of surface-based structures.
A de-risked bio-inspired condylar prosthetic knee joint for a robotic leg test rig (2020)
Conference Proceeding
Agrawal, S., Simasinghe, C., Jafari, A., Etoundi, A., & Jie Chong, J. (in press). A de-risked bio-inspired condylar prosthetic knee joint for a robotic leg test rigThe design of the human knee joint has been a challenging task due to the presence of intricate parts, complex mechanisms and their interdependence which joins them together. A bio-inspired design for the condylar knee joint has been proposed in earl... Read More about A de-risked bio-inspired condylar prosthetic knee joint for a robotic leg test rig.
Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rig (2020)
Conference Proceeding
Sabau, P., Jie Chong, J., Jafari, A., Agrawal, S., Semasinghe, C., & Etoundi, A. (in press). Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rigIn the past century many medical advancements in prosthetics have been achieved, however, discomfort in prosthetic socket remains one of the toughest challenges faced by both amputees and prosthetists. Wearing an uncomfortable socket can lead to user... Read More about Application of machine learning towards design optimisation of bio-inspired transfemoral prosthetic socket for robotic leg test rig.
Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation (2020)
Conference Proceeding
Le Goff, L. K., Buchanan, E., Hart, E., Eiben, A. E., Li, W., de Carlo, M., …Tyrrell, A. M. (2020). Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. In J. Bongard, J. Lovato, L. Hebert-Dufrésne, R. Dasari, & L. Soros (Eds.), Artificial Life Conference Proceedings (432-440). https://doi.org/10.1162/isal_a_00299In evolutionary robot systems where morphologies and controllers of real robots are simultaneously evolved, it is clear that there is likely to be requirements to refine the inherited controller of a ‘newborn’ robot in order to better align it to its... Read More about Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation.
Fuzzy tuned PID controller for vibration control of agricultural manipulator (2020)
Conference Proceeding
Paul, S., Arunachalam, A., Khodadad, D., & Rubanenko, O. (2020). Fuzzy tuned PID controller for vibration control of agricultural manipulator. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). https://doi.org/10.1109/hora49412.2020.9152848Image-based phenotyping systems have evolved over the years, and become an integral part of crop and plant science research. Phenotyping systems provide great potential to deliver critical insights, than the conventional destructive field methods. St... Read More about Fuzzy tuned PID controller for vibration control of agricultural manipulator.
Deep 3D face recognition using 3D data augmentation and transfer learning (2020)
Conference Proceeding
Smith, M., Smith, L., Huang, N., Hansen, M., & Smith, M. (2020). Deep 3D face recognition using 3D data augmentation and transfer learningAbstract. Deep convolutional neural networks (DCNNs) have achieved humancomparable performance on challenging 2D face databases, outperforming all previous shallow methods. However, current 3D face recognition research still focuses on non-deep-learn... Read More about Deep 3D face recognition using 3D data augmentation and transfer learning.
Usability study of a robot companion for monitoring industrial processes (2020)
Conference Proceeding
Sita, E., Thomessen, T., Pipe, A. G., Studley, M., & Dailami, F. (2020). Usability study of a robot companion for monitoring industrial processes. In 2020 5th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) (37-42). https://doi.org/10.1109/acirs49895.2020.9162607In this paper we present the findings of a usability study for a monitoring robotic unit tele-operated via a virtual fixtures (VF) based control framework. The study aims at investigating the impact of VF on the robot navigation as well as the impact... Read More about Usability study of a robot companion for monitoring industrial processes.
3D face recognition using photometric stereo and deep learning (2020)
Conference Proceeding
Kneis, B., & Zhang, W. (2020). 3D face recognition using photometric stereo and deep learning. In Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics (255–261). https://doi.org/10.1145/3405962.3405995Illumination variance is one of the largest real-world problems when deploying face recognition systems. Over the last few years much work has gone into the development of novel 3D face recognition methods to overcome this issue. Photometric stereo i... Read More about 3D face recognition using photometric stereo and deep learning.
Demand forecasting of short life cycle products using data mining techniques (2020)
Conference Proceeding
Afifi, A. (2020). Demand forecasting of short life cycle products using data mining techniques. In Artificial Intelligence Applications and Innovations. AIAI 2020Products with short life cycles are becoming increasingly common in many industries due to higher levels of competition, shorter product development time and increased product diversity. Accurate demand forecasting of such products is crucial as it p... Read More about Demand forecasting of short life cycle products using data mining techniques.