activity
20162022
most citedTuning of multivariable model predictive controllersthrough expert bandit feedback

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

collaborators

25 papers

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…

eess.SY2022

Individual and Team Trust Preferences for Robotic Swarm Behaviors

Elena M Vella, Daniel A Williams, Airlie Chapman +1

Trust between humans and multi-agent robotic swarms may be analyzed using human preferences. These preferences are expressed by an individual as a sequence of ordered comparisons b…

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…

math.OC20211 cited

Zeroth-order optimisation on subsets of symmetric matrices with application to MPC tuning

Alejandro I. Maass, Chris Manzie, Iman Shames +1

This paper provides a zeroth-order optimisation framework for non-smooth and possibly non-convex cost functions with matrix parameters that are real and symmetric. We provide compl…

eess.SY2021

Temporal Logic Planning for Minimum-Time Positioning of Multiple Threat-Seduction Decoys

Tony A. Wood, Mitchell Khoo, Elad Michael +2

Reusable decoys offer a cost-effective alternative to the single-use hardware commonly applied to protect surface assets from threats. Such decoys portray fake assets to lure threa…

math.OC2021

Ordinal Optimisation and the Offline Multiple Noisy Secretary Problem

Robert Chin, Jonathan E. Rowe, Iman Shames +2

We study the success probability for a variant of the secretary problem, with noisy observations and multiple offline selection. Our formulation emulates, and is motivated by, prob…