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All Outputs (1093)

The PrHand: Functional assessment of an underactuated soft-robotic prosthetic hand (2022)
Conference Proceeding
De Arco, L., Ramos, O., Múnera, M., Moazen, M., Wurdemann, H., & Cifuentes, C. A. (2022). The PrHand: Functional assessment of an underactuated soft-robotic prosthetic hand. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). https://doi.org/10.1109/BioRob52689.2022.9925316

Functional tests aim to compare the functionality of a prosthesis with a human hand. The main objective of this work is to present and evaluate an affordable prosthesis (PrHand) built with soft robotic technologies and novel joints based on compliant... Read More about The PrHand: Functional assessment of an underactuated soft-robotic prosthetic hand.

Ontology-based situation awareness for air and space traffic management (2022)
Conference Proceeding
Insaurralde, C. C., Blasch, E., & Sabatini, R. (2022). Ontology-based situation awareness for air and space traffic management. In 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC55683.2022.9925810

The rapid technological and business advances of point-to-point space transport prompt the need for an integrated Air Traffic Management (ATM) and Space Traffic Management (STM) framework. The introduction of a more flexible airspace and vehicle/traj... Read More about Ontology-based situation awareness for air and space traffic management.

A novel robot skill learning framework based on bilateral teleoperation (2022)
Conference Proceeding
Si, W., Yue, T., Guan, Y., Wang, N., & Yang, C. (2022). A novel robot skill learning framework based on bilateral teleoperation. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). https://doi.org/10.1109/case49997.2022.9926526

In this paper, a bilateral teleoperation-based robot skill learning framework is developed to transfer multi-step and contact manipulation skills from humans to robots. Robot skill acquisition via bilateral teleoperation provides a solution for human... Read More about A novel robot skill learning framework based on bilateral teleoperation.

Feeling the pressure: The influence of vibrotactile patterns on feedback perception (2022)
Conference Proceeding
Smith, A., Ward-Cherrier, B., Etoundi, A., & Pearson, M. J. (2022). Feeling the pressure: The influence of vibrotactile patterns on feedback perception. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (634-640). https://doi.org/10.1109/IROS47612.2022.9981594

Tactile feedback is necessary for closing the sen-sorimotor loop in prosthetic and tele-operable control, which would allow for more precise manipulation and increased acceptance of use of such devices. Pressure stimuli are commonly presented to user... Read More about Feeling the pressure: The influence of vibrotactile patterns on feedback perception.

Real-time style transfer for videos to enhance the realism of simulation of laparoscopic surgeries (2022)
Conference Proceeding
Shao, M., Clark, J., Huson, D., & Hardeberg, J. (2022). Real-time style transfer for videos to enhance the realism of simulation of laparoscopic surgeries. In 2022 10th European Workshop on Visual Information Processing (EUVIP). https://doi.org/10.1109/EUVIP53989.2022.9922706

Surgical simulation has repeatedly proven its potential, but is limited by the lack of realism to the surgical experience. For laparoscopic surgery simulation, an image processing method known as style transfer can improve the realism by transferring... Read More about Real-time style transfer for videos to enhance the realism of simulation of laparoscopic surgeries.

Fixed-time adaptive neural control for robot manipulators with input saturation and disturbance (2022)
Conference Proceeding
Huang, H., Lu, Z., Wang, N., & Yang, C. (2022). Fixed-time adaptive neural control for robot manipulators with input saturation and disturbance. In 2022 27th International Conference on Automation and Computing (ICAC). https://doi.org/10.1109/ICAC55051.2022.9911082

A fixed-time adaptive neural network control scheme is designed for an unknown model manipulator system with input saturation and external environment disturbance, so that the system convergence time can be parameterized and not affected by the initi... Read More about Fixed-time adaptive neural control for robot manipulators with input saturation and disturbance.

Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning (2022)
Conference Proceeding
De Arco, L., Pontes, M. J., Vieira Segatto, M. E. V., Monteiro, M. E., Cifuentes, C. A., & Díaz, C. A. R. (2022). Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning. . https://doi.org/10.1109/LAEDC54796.2022.9908232

This work presents the instrumentation of the PrHand upper-limb prosthesis with optical fiber sensors to measure the angle of the proximal interphalangeal joint. The angle sensors are based on bending-induced loss and are fabricated with polymer opti... Read More about Optical fiber angle sensors for the PrHand prosthesis: Development and application in grasp types recognition with machine learning.

Novel gripper-like exoskeleton design for robotic grasping based on learning from demonstration (2022)
Conference Proceeding
Dai, H., Lu, Z., He, M., & Yang, C. (2022). Novel gripper-like exoskeleton design for robotic grasping based on learning from demonstration. In 2022 27th International Conference on Automation and Computing (ICAC). https://doi.org/10.1109/ICAC55051.2022.9911096

Learning from demonstration (LfD) has been developed and proved to be a promising method for transferring skill knowledge from human to robot. It is desired to have a demonstration device that can effectively map demonstrations to the robot's motion... Read More about Novel gripper-like exoskeleton design for robotic grasping based on learning from demonstration.

Non-singular fixed-time sliding mode control for unknown-dynamics manipulators interacting with environment (2022)
Conference Proceeding
Kong, H., Li, G., & Yang, C. (2022). Non-singular fixed-time sliding mode control for unknown-dynamics manipulators interacting with environment. In 2022 27th International Conference on Automation and Computing (ICAC). https://doi.org/10.1109/ICAC55051.2022.9911101

In this paper, a robust fixed-time controller is de-signed for manipulators with unknown dynamics while interacting with environment. To realize compliance of the manipulator to the environment, an admittance model is adopted in the system. In the co... Read More about Non-singular fixed-time sliding mode control for unknown-dynamics manipulators interacting with environment.

Vibration power dissipation in a spring-damper-mass system excited by dry friction (2022)
Conference Proceeding
Chao, C., Shi, B., Yang, J., & Wiercigroch, M. (2023). Vibration power dissipation in a spring-damper-mass system excited by dry friction. In Z. Dimitrovová, P. Biswas, R. Gonçalves, & T. Silva (Eds.), WMVC 2022: Recent Trends in Wave Mechanics and Vibrations (957-965). https://doi.org/10.1007/978-3-031-15758-5_99

This study investigates the vibration transmission and power dissipation behaviour of a mass-spring-damper system mounted on a conveyor belt. Coulomb friction exists between the mass and the belt moving at a constant velocity and acts as the external... Read More about Vibration power dissipation in a spring-damper-mass system excited by dry friction.

‘Through their eyes and ears’: Creating new knowledge for climate education through co-productive practices (2022)
Conference Proceeding
Portus, R., & Williams, S. (2022). ‘Through their eyes and ears’: Creating new knowledge for climate education through co-productive practices. In N. Deutzkens, K. V. Poeck, M. Deleye, J. Læssøe, J. Lönngren, H. Lotz-Sisitka, …A. Wals (Eds.), Challenges for environmental and sustainability education research in times of climate crisis:15TH invitational seminar on environmental & sustainability education research (137-139)

Despite climate change being a well-established fact, public perception of the current climate situation as being an emergency is a relatively recent phenomenon. O’Neill and Nicholson-Cole (2009, p.361) wrote of the tendency to see climate change as... Read More about ‘Through their eyes and ears’: Creating new knowledge for climate education through co-productive practices.

Measuring visual social engagement from proxemics and gaze (2022)
Conference Proceeding
Webb, N., Giuliani, M., & Lemaignan, S. (2022). Measuring visual social engagement from proxemics and gaze. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (757-762). https://doi.org/10.1109/RO-MAN53752.2022.9900801

When we approach a group, there is an exchange of a multitude of verbal or non-verbal social signals to indicate that we are looking to interact. We continue to share these signals throughout the interaction to portray our thoughts and motivations. W... Read More about Measuring visual social engagement from proxemics and gaze.

User requirements for a robot teleoperation system for general medical examination (2022)
Conference Proceeding
Chirapornchai, C., Niyi-Odumosu, F., Giuliani, M., & Bremner, P. (2022). User requirements for a robot teleoperation system for general medical examination. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (858-863). https://doi.org/10.1109/RO-MAN53752.2022.9900855

Thailand, as well as many other countries world-wide, is facing a shortage of medical staff. We purpose a solution to improve medical services in health centres: a robot teleoperation system to allow patients to consult with doctors from public hospi... Read More about User requirements for a robot teleoperation system for general medical examination.

Usability of an immersive control system for a humanoid robot surrogate (2022)
Conference Proceeding
MacKey, B., Bremner, P., & Giuliani, M. (2022). Usability of an immersive control system for a humanoid robot surrogate. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (678-685). https://doi.org/10.1109/RO-MAN53752.2022.9900587

Social isolation is an issue that effects many people, especially those from ethic minorities, LGBTQIA+ communities, the elderly, those in long-term healthcare, and those living with life-limiting illnesses. It has become increasingly evident during... Read More about Usability of an immersive control system for a humanoid robot surrogate.

Ego-graph replay based continual learning for misinformation engagement prediction (2022)
Conference Proceeding
Bo, H., McConville, R., Hong, J., & Liu, W. (2022). Ego-graph replay based continual learning for misinformation engagement prediction. In 2022 International Joint Conference on Neural Networks (IJCNN) (01-08). https://doi.org/10.1109/IJCNN55064.2022.9892557

Online social network platforms have a problem with misinformation. One popular way of addressing this problem is via the use of machine learning based automated misinformation detection systems to classify if a post is misinformation. Instead of pos... Read More about Ego-graph replay based continual learning for misinformation engagement prediction.

Framework for developing digital twin prototypes (2022)
Conference Proceeding
Zaidi, Y., & Portapas, V. (2022). Framework for developing digital twin prototypes. In Emerging and Disruptive Modelling and Simulation Technologies to Transform Future Defence Capabilities (STO-MP-MSG-197). https://doi.org/10.14339/STO-MP-MSG-197

This paper presents an agile co-simulation framework for developing digital twin prototypes of novel flying vehicles. The framework enables rapid assessment of flying vehicles' performance and flying dynamics in the early stages of their design cycle... Read More about Framework for developing digital twin prototypes.

Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient (2022)
Conference Proceeding
Pino, A., Gomez-Vargas, D., Garzón, A., Roberti, F., Carelli, R., Múnera, M., & Cifuentes, C. A. (2022). Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient. . https://doi.org/10.1109/ICORR55369.2022.9896510

Neuromuscular disorders, such as foot drop, severely affect the locomotor function and walking independence after a brain injury event. Mirror-based robotic therapy (MRT) has been a promising rehabilitation strategy favouring upper limb muscle streng... Read More about Mirror-based robotic therapy for ankle recovery with a serious game: A case study with a neurological patient.

Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot (2022)
Conference Proceeding
Gaitán-Padilla, M., Cifuentes, C. A., & Múnera, M. (2022). Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot. . https://doi.org/10.1109/ICORR55369.2022.9896590

Social assistive robotics in autism has been implemented in studies and therapies to improve social skills and encourage children to comply with therapies. However, autism symptoms vary in their spectrum, which generates difficulties in implementing... Read More about Three study cases of social robotics in autism spectrum disorder treatment: Personalization and usability of CASTOR robot.

Maintenance strategies for networked assets* (2022)
Conference Proceeding
Perez Hernandez, M., Puchkova, A., & Kumar Parlikad, A. K. (2022). Maintenance strategies for networked assets*. . https://doi.org/10.1016/j.ifacol.2022.09.199

The purpose of this paper is to analyse the effect of different maintenance strategies for a network of assets whose condition deteriorates progressively along the time. We propose both an agent-based model that considers the dynamics of data traffic... Read More about Maintenance strategies for networked assets*.

Application of head space gas chromatography mass spectrometry (HS-GCMS) to determine fragrances transferred between fabrics with varying force of contact (2022)
Conference Proceeding
Honeychurch, K. (2022). Application of head space gas chromatography mass spectrometry (HS-GCMS) to determine fragrances transferred between fabrics with varying force of contact. In S. Urban, V. Skerikova, P. Pouzarova, & T. Uhlikova (Eds.), Book of abstracts of the First International workshop on Chemical Analysis of Human Scent for Forensic Purposes (30)

In recent years, offenders have become more forensically aware; leading to the need for the development of new and novel evidence types. One such potential evidence type that we believe deserves further investigation is that of fragrance transfer. Lo... Read More about Application of head space gas chromatography mass spectrometry (HS-GCMS) to determine fragrances transferred between fabrics with varying force of contact.