38 citations · 143 across the 42 of their papers we have counts for
8 papers · 1 filter
Lazy Probabilistic Roadmaps Revisited
Miquel Ramirez, Daniel Selvaratnam, Chris Manzie
This paper describes a revision of the classic Lazy Probabilistic Roadmaps algorithm (Lazy PRM), that results from pairing PRM and a novel Branch-and-Cut (BC) algorithm. Cuts are d…
Probabilistic Data Association for Semantic SLAM at Scale
Elad Michael, Tyler Summers, Tony A. Wood +2
With advances in image processing and machine learning, it is now feasible to incorporate semantic information into the problem of simultaneous localisation and mapping (SLAM). Pre…
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…
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…
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…
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…
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…
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…