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William Edwards

4 accepted papers

2024

Automatically-Tuned Model Predictive Control for an Underwater Soft Robot

RA-L 2024

Soft robots have desirable qualities for use in underwater environments thanks to their inherent compliance and lack of need for exposed hardware. Nevertheless, these advantages come at the cost of considerable control challenges. Data-driven model predictive control (MPC) is an approach that has sh

Cited by 10SourceScholar
2022

Data-Driven Modelling and Control for Robot Needle Insertion in Deep Anterior Lamellar Keratoplasty

RA-L 2022

Deep anterior lamellar keratoplasty (DALK) is a technique for cornea transplantation which is associated with reduced patient morbidity. DALK has been explored as a potential application of robot microsurgery because the small scales, fine control requirements, and difficulty of visualization make i

Cited by 13SourceScholar
2021

Automatic Tuning for Data-driven Model Predictive Control

ICRA 2021poster

Model predictive control (MPC) is a powerful feedback technique that is often used in data-driven robotics. The performance of data-driven MPC depends on the accuracy of the model, which often requires careful tuning. Furthermore, specifying the task with an objective function and synthesizing a fee…

Cited by 49SourceScholar
2017

Semi-boustrophedon coverage with a dubins vehicle

IROS 2017poster

This paper addresses the problem of generating coverage paths-that is, paths that pass within some sensor footprint of every point in an environment-for vehicles with Dubins motion constraints. We extend previous work that solves this coverage problem as a traveling salesman problem (TSP) by introdu…

Cited by 44SourceScholar