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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

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