activity
20172020
most citedPersonalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces

26 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2020

The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces

Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo +3

In previous work, the authors proposed a data-driven optimisation algorithm for the personalisation of human-prosthetic interfaces, demonstrating the possibility of adapting prosth…

cs.RO2020★ 17 cited

Task-space Synergies for Reaching using Upper-limb Prostheses

Ricardo Garcia-Rosas, Denny Oetomo, Chris Manzie +2

Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosth…

cs.RO2019

Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping

Wenceslao Shaw Cortez, Denny Oetomo, Chris Manzie +1

Control barrier functions have been demonstrated to be a useful method of ensuring constraint satisfaction for a wide class of controllers, however existing results are mostly rest…

cs.RO2019★ 26 cited

Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces

Ricardo Garcia-Rosas, Ying Tan, Denny Oetomo +2

Synergies have been adopted in prosthetic limb applications to reduce complexity of design, but typically involve a single synergy setting for a population and ignore individual pr…

cs.RO2018★ 2 cited

Grasp Constraint Satisfaction for Object Manipulation using Robotic Hands

Wenceslao Shaw Cortez, Denny Oetomo, Chris Manzie +1

For successful object manipulation with robotic hands, it is important to ensure that the object remains in the grasp at all times. In addition to grasp constraints associated with…

cs.RO2017

Robust Object Manipulation for Tactile-based Blind Grasping

Wenceslao Shaw-Cortez, Denny Oetomo, Chris Manzie +1

Tactile-based blind grasping addresses realistic robotic grasping in which the hand only has access to proprioceptive and tactile sensors. The robotic hand has no prior knowledge o…