Automated Decision Making in Infrastructure
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
This research project focuses on the 'Algorithms in autonomy' work stream and seeks to create a method for how we can manage and control autonomous plant in a way which yields optimal:
Efficiency on task;
Safety of site workers;
Ability to respond to dynamic environments.
With an initial focus on Earth Moving operations, the primary goal is to create a framework that enables the management, monitoring and development of multiple and varied autonomous plant tasks. Ultimately, it's about distilling a Complex Infrastructure Project into a machine-readable form as much as possible as to then be able to model and predict outcomes based on different decisions.
Efficiency on task;
Safety of site workers;
Ability to respond to dynamic environments.
With an initial focus on Earth Moving operations, the primary goal is to create a framework that enables the management, monitoring and development of multiple and varied autonomous plant tasks. Ultimately, it's about distilling a Complex Infrastructure Project into a machine-readable form as much as possible as to then be able to model and predict outcomes based on different decisions.
People |
ORCID iD |
Simon Smith (Primary Supervisor) | |
Ross Walker (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/S513799/1 | 30/09/2018 | 29/09/2023 | |||
2588568 | Studentship | EP/S513799/1 | 30/09/2020 | 31/10/2024 | Ross Walker |