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Grant Award View - GA337650
Adaptive and Efficient Robot Positioning Through Model and Task Fusion
GA ID:
GA337650
Agency:
Australian Research Council
Approval Date:
28-Sep-2023
Publish Date:
4-Oct-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Nov-2024 to 31-Oct-2027
Original: 1-Jan-2024 to 31-Dec-2026
Value (AUD):
$462,044.00
(GST inclusive where applicable)
Variations:
- GA337650-V1 - Variation to Grant (8-Feb-2024 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Adaptive and Efficient Robot Positioning Through Model and Task Fusion
Purpose:
This project aims to create fit-for-purpose positioning systems that continuously adapt to diverse and changing environments. The project expects to contribute to the knowledge across robotics, computer vision, and neuromorphic computing. Expected outcomes of this project include ground-breaking place recognition techniques that address two fundamental limitations in the state-of-the-art: continuous adaptation, critically important in safety-critical systems, and energy efficiency, critically important in resource-constrained systems. This should provide significant benefits, such as accelerated deployment of mobile robots, drones and augmented reality solutions in manufacturing, defence, healthcare, household, and space.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2024
Internal Reference ID:
DE24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Queensland University of Technology
Recipient ABN:
83 791 724 622
Grant Recipient Location
Suburb:
BRISBANE CITY
Town/City:
BRISBANE CITY
Postcode:
4000
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4000
Country:
AUSTRALIA