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Grant Award View - GA214452

Learning Robotic Navigation and Interaction from Object-based Semantic...

Contact Details

ARC NCGP General Enquiries

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02 6287 6600

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GA ID:
GA214452
Agency:
Australian Research Council
Approval Date:
14-Jan-2022
Publish Date:
20-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Oct-2022 to 30-Sep-2025
Original: 14-Jan-2022 to 31-Dec-2024
Value (AUD):
$515,000.00 (GST inclusive where applicable)
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Learning Robotic Navigation and Interaction from Object-based Semantic Maps
Purpose:
Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently learn complex interaction and navigation behaviours that transfer to unseen environments. Our research should benefit new applications in domains of economic and societal importance that are currently too complex, unsafe, and uncertain for robot assistants, such as aged care, advanced manufacturing and domestic robotics.

GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 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

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: