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20162022
most citedTuning of multivariable model predictive controllersthrough expert bandit feedback

12 citations · 25 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.RO2022

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…

cs.RO2022

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…

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

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

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…