The control of SRMs is challenging, as it must be done concurrently with the control of the operator’s biological limbs. Acquiring expertise in controlling SRMs necessitates training, and even after achieving proficiency, utilizing SRMs imposes a significant cognitive burden that limits their sustained use over prolonged periods.
This project advocates for adapting technology to the human, and aims at designing control approaches that are informed by the existence of couplings across natural limbs. This project aims to ensure that the benefits brought by this supplementary dexterity are not shadowed by too important physical and cognitive demands for controlling the SRMs.
Collaborators
Supported By
LASA
The project is co-conducted by the Learning Algorithms and Systems Laboratory (LASA) at the Swiss Federal Institute of Technology Lausanne (EPFL).
REHAssist
The project is co-conducted by the REHAssist group at the Swiss Federal Institute of Technology Lausanne (EPFL).
SNSF
The project is supported by the Swiss National Science Foundation (SNSF)
