RoboPatient - Robot assisted learning of constrained haptic information gain
Lead Research Organisation:
University of Oxford
Department Name: Primary Care Health Sciences
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
Publications
Hamid E
(2021)
A State-Dependent Damping Method to Reduce Collision Force and Its Variability
in IEEE Robotics and Automation Letters
He L
(2023)
Robotic Simulators for Tissue Examination Training With Multimodal Sensory Feedback.
in IEEE reviews in biomedical engineering
He L
(2021)
An Abdominal Phantom With Tunable Stiffness Nodules and Force Sensing Capability for Palpation Training
in IEEE Transactions on Robotics
Lalitharatne T
(2021)
MorphFace: A Hybrid Morphable Face for a Robopatient
in IEEE Robotics and Automation Letters
Lalitharatne T
(2020)
Facial Expression Rendering in Medical Training Simulators: Current Status and Future Directions
in IEEE Access
Lalitharatne T
(2021)
MorphFace: A Hybrid Morphable Face for a Robopatient
Leong F
(2022)
A Surrogate Model Based on a Finite Element Model of Abdomen for Real-Time Visualisation of Tissue Stress during Physical Examination Training.
in Bioengineering (Basel, Switzerland)
| Description | We have quantified much of the process of a clinician physically examining the abdomen. We have started to construct unique abdominal phantoms to teach health care staff. |
| Exploitation Route | Simulations that will improve teaching healthcare staff and possibly facilitate remote examination of patients. |
| Sectors | Digital/Communication/Information Technologies (including Software) Education Healthcare |
| URL | https://thrish.org/projects/robopatient |