Morphological computation of perception and action
Lead Research Organisation:
Imperial College London
Department Name: Bioengineering
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
People |
ORCID iD |
| Etienne Burdet (Principal Investigator) |
Publications
Dall'Orso S
(2018)
Somatotopic Mapping of the Developing Sensorimotor Cortex in the Preterm Human Brain.
in Cerebral cortex (New York, N.Y. : 1991)
Donadio A
(2018)
A novel sensor design for accurate measurement of facial somatosensation in pre-term infants.
in PloS one
Herzig N
(2018)
A Variable Stiffness Robotic Probe for Soft Tissue Palpation
in IEEE Robotics and Automation Letters
Herzig N
(2018)
Nonlinear position and stiffness Backstepping controller for a two Degrees of Freedom pneumatic robot
in Control Engineering Practice
Hussain A
(2016)
Self-Paced Reaching after Stroke: A Quantitative Assessment of Longitudinal and Directional Sensitivity Using the H-Man Planar Robot for Upper Limb Neurorehabilitation.
in Frontiers in neuroscience
Ivanova E
(2020)
For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human.
in IEEE open journal of engineering in medicine and biology
Li Y
(2019)
Differential game theory for versatile physical human-robot interaction
in Nature Machine Intelligence
Mace M
(2017)
Validity of a sensor-based table-top platform to measure upper limb function.
in IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Mace M
(2017)
Balancing the playing field: collaborative gaming for physical training.
in Journal of neuroengineering and rehabilitation
| Description | - We have found how interaction mechanics is considered by interacting humans doing a joint task, and how this influences their communication through touch and force (Takagi et al. 2017 Nature Human Behaviour). Furthermore, we have shown that humans can voluntarily control the strength of their physical interaction in order to optimise haptic communication (Takagi et al. 2018 PLoS Computational Biology). We also demonstrated that the benefits of haptic communication scale with the group of the collective such as e.g. to carry a table together (Takagi et al. 2019 eLife). - The work in MOTION gave rise this year 2020 to publications related to haptic sensing with the environment and between humans, namely (Ivanova et al. 2020, IEEE OJEMB), (Dall'Orso et al. 2020 Cerebral Cortex), (Takagi et al. 2020 Scientific reports) |
| Exploitation Route | - The results on human behaviour have been modeled using game theory (Li 2019 Nature Machine Intelligence), which in will in turn help the development of collaborative robots working in contact with humans such as for physical rehabilitation or shared driving in automatic cars. - The results on motor interaction have given rise to reproduction of the experiments and confirmation of the results, see (Beckers et al. 2020 Scientific Reports) |
| Sectors | Aerospace, Defence and Marine,Education,Healthcare,Leisure Activities, including Sports, Recreation and Tourism |
| URL | http://www.imperial.ac.uk/human-robotics |
| Description | The parent grant with coordinator Nanayakkara, Thrishantha is described there. The main finding from our subproject to the MOTION grant is that mechanically interacting partners adapt their muscle co-contraction to improve exchange of multi sensory information between them. This has now led to a method for robots in contact with humans to adapt their control gain to this user within the EU project PH-CODING, which was shown to improve the behaviour of both the robot and its human user. |
| First Year Of Impact | 2022 |
| Sector | Aerospace, Defence and Marine,Education,Healthcare,Leisure Activities, including Sports, Recreation and Tourism |
| Impact Types | Societal |