MR Roboto - Stage 2 - Towards automated sensing and control

Project Member(s): Paul, G., Kodagoda, S., Munasinghe, N., Vu, T., Valls Miro, J.

Funding or Partner Organisation: NEXTORE PTY LTD
NEXTORE PTY LTD

Start year: 2022

Summary: In this project UTS:RI aims to deliver a sensing and control solution to NextOre for a geometry sensing system to inform the robotic control and positioning of a large-scale MR sensor. The aims and deliverables are proposed in multiple research stages. After the successful completion of the first stage where a digital twin incorporating sensing optimisation algorithms was developed, this is the next stage of the R&D. Here the focus is on the actualisation, debugging and testing of these algorithms on the real-world hardware. Point cloud data from the provided laser sensors can be fused and processed to localise a truck load and create load profiles. The MR sensing optimisation algorithm outputs suggestions about sensing locations, then decisions and actions can be taken to move a crane-mounted MR sensor to the optimial location over a truck load. This will also involve advancing the software and control architecture and investigating the first stages of network and human interfaces.

FOR Codes: Control engineering, mechatronics and robotics, Artificial intelligence, Primary mining and extraction of minerals, Industrial machinery and equipment

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.