All Outputs (8)

Remotely deployable aerial inspection using tactile sensors (2014)
Journal Article
Macleod, C. N., Cao, J., Pierce, S. G., Sullivan, J. C., Pipe, A. G., Dobie, G., & Summan, R. (2014). Remotely deployable aerial inspection using tactile sensors. AIP Conference Proceedings, 1581, 1873-1880. https://doi.org/10.1063/1.4865052

For structural monitoring applications, the use of remotely deployable Non-Destructive Evaluation (NDE) inspection platforms offer many advantages, including improved accessibility, greater safety and reduced cost, when compared to traditional manual... Read More about Remotely deployable aerial inspection using tactile sensors.

A novel bio-inspired tactile tumour detection concept for capsule endoscopy (2014)
Journal Article
Pipe, T., Winstone, B., Melhuish, C., Dogramadzi, S., Pipe, A. G., & Callaway, M. (2014). A novel bio-inspired tactile tumour detection concept for capsule endoscopy. Lecture Notes in Artificial Intelligence, 8608 LNAI, 442-445. https://doi.org/10.1007/978-3-319-09435-9_56

Examination of the gastrointestinal(GI) tract has traditionally been performed using endoscopy tools that allow a surgeon to see the inside of the lining of the digestive tract. Endoscopes are rigid or flexible tubes that use fibre-optics or cameras... Read More about A novel bio-inspired tactile tumour detection concept for capsule endoscopy.

Towards an ethical robot: Internal models, consequences and ethical action selection (2014)
Journal Article
Winfield, A. F., Blum, C., & Liu, W. (2014). Towards an ethical robot: Internal models, consequences and ethical action selection. Lecture Notes in Artificial Intelligence, 8717 LNAI, 85-96. https://doi.org/10.1007/978-3-319-10401-0_8

If robots are to be trusted, especially when interacting with humans, then they will need to be more than just safe. This paper explores the potential of robots capable of modelling and therefore predicting the consequences of both their own actions,... Read More about Towards an ethical robot: Internal models, consequences and ethical action selection.

Biodegradable and edible gelatine actuators for use as artificial muscles (2014)
Journal Article
Ieropoulos, I., Chambers, L. D., Winfield, J., Ieropoulos, I., & Rossiter, J. (2014). Biodegradable and edible gelatine actuators for use as artificial muscles. Proceedings of SPIE, 9056, 90560B. https://doi.org/10.1117/12.2045104

The expense and use of non-recyclable materials often requires the retrieval and recovery of exploratory robots. Therefore, conventional materials such as plastics and metals in robotics can be limiting. For applications such as environmental monitor... Read More about Biodegradable and edible gelatine actuators for use as artificial muscles.

High speed switched, multi-channel drive for high voltage dielectric actuation of a biomimetic sensory array (2014)
Journal Article
Pearson, M., & Assaf, T. (2014). High speed switched, multi-channel drive for high voltage dielectric actuation of a biomimetic sensory array. Lecture Notes in Artificial Intelligence, 8608 LNAI, 414-416. https://doi.org/10.1007/978-3-319-09435-9_47

Electro-Active Polymers (EAP) have been described as artificial muscles due to their composition andmuscle-like dynamics [1]. Consequently they have attracted a lot of attention from the biomimetic robotics research community and heralded as a potent... Read More about High speed switched, multi-channel drive for high voltage dielectric actuation of a biomimetic sensory array.

Action recognition using ensemble weighted multi-instance learning (2014)
Journal Article
Chen, G., Giuliani, M., Clarke, D., Gaschler, A., & Knoll, A. (2014). Action recognition using ensemble weighted multi-instance learning. IEEE International Conference on Robotics and Automation, 4520-4525. https://doi.org/10.1109/ICRA.2014.6907519

© 2014 IEEE. This paper deals with recognizing human actions in depth video data. Current state-of-the-art action recognition methods use hand-designed features, which are difficult to produce and time-consuming to extend to new modalities. In this p... Read More about Action recognition using ensemble weighted multi-instance learning.

Hybrid force-motion control of coordinated robots interacting with unknown environments (2014)
Journal Article
Jafari, A., & Ryu, J. H. (2014). Hybrid force-motion control of coordinated robots interacting with unknown environments. https://doi.org/10.1109/ICCAS.2014.6987966

© 2014 Institute of Control, Robotics and Systems (ICROS). This paper presents a unified framework for system design and control in cooperative robotic systems. It introduces a highly general cooperative system configuration involving any number of m... Read More about Hybrid force-motion control of coordinated robots interacting with unknown environments.

Wearable self sufficient MFC communication system powered by urine (2014)
Journal Article
Taghavi, M., Stinchcombe, A., Greenman, J., Mattoli, V., Beccai, L., Mazzolai, B., …Ieropoulos, I. (2014). Wearable self sufficient MFC communication system powered by urine. Lecture Notes in Artificial Intelligence, 8717 LNAI, 131-138. https://doi.org/10.1007/978-3-319-10401-0_12

A new generation of self-sustainable and wearable Microbial Fuel Cells (MFCs) is introduced. Two different types of energy - chemical energy found in urine and mechanical energy harvested by manual pumping - were converted to electrical energy. The w... Read More about Wearable self sufficient MFC communication system powered by urine.