Field-Testing astronaut assistance robots in Australian outback [From the Field]

G. Mann; N. Small; K. Lee; J. Clarke; R. Sheh

doi:10.1109/MRA.2015.2452200

Back

Journal article

Peer reviewed

Field-Testing astronaut assistance robots in Australian outback [From the Field]

G. Mann, N. Small, K. Lee, J. Clarke and R. Sheh

IEEE Robotics & Automation Magazine, Vol.22(3), pp.188-191

2015

DOI: https://doi.org/10.1109/MRA.2015.2452200

Files and links (1)

url

Link to Published Version *Subscription may be requiredView

Abstract

Reports on the field testing of robots technology. The trouble with field-testing robots is that we are taking complex machines out of the laboratory and into the dirt: natural, unstructured environments that cannot be easily characterized or measured. There they could be doing imperfectly characterized tasks. We expect robots to be behaviorally flexible so describing a typical task will generally underspecify actual usage. The machine design, task, and environment are not orthogonal factors either, since they might interact in complicated ways. As if all this was not enough, most field robots are still teleoperated, which adds the attendant problems of evaluating the human controller and interface. Published work in this area tends to focus on demonstrating the robot's fitness for purpose based on specific requirements, often according to he contingencies of practical funding. Too often that commits the work to studies of performance on tasks that are not necessarily well understood, or even particularly well described, and to measurements within environments that cannot be duplicated.

Details

Title: Field-Testing astronaut assistance robots in Australian outback [From the Field]
Authors/Creators: G. Mann (Author/Creator) - Murdoch University
N. Small (Author/Creator) - Murdoch University
K. Lee (Author/Creator) - Nottingham Trent University
J. Clarke (Author/Creator)
R. Sheh (Author/Creator) - Curtin University
Publication Details: IEEE Robotics & Automation Magazine, Vol.22(3), pp.188-191
Publisher: IEEE
Identifiers: 991005542536207891
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Journal article

Metrics

66 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: No Topic Assigned; No Topic Assigned; No Topic Assigned
Web Of Science research areas: Automation & Control Systems; Robotics
ESI research areas: Engineering