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Found 3 matching student topics

Displaying 1–3 of 3 results

Designing Robotic Intention Visualisation

This project is part of the Human Robot Interaction program in the Australian Cobotics Centre, an ARC Training Centre for Collaborative Robotics in Advanced Manufacturing.People effectively coordinate (co-located) teamwork through various social approaches that make team members aware of what they are doing or intend to do. Collaborative robots (cobots) are being introduced to the workplace to enable tight integration of human and robotic work activities, such as assisting human workers with repetitive or strenuous physical tasks. But robots may …

Study level
Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design

From digital design to human-robot collaborative masonry construction

This project addresses Queensland's critical housing shortage by exploring the productivity benefits of human-robot collaboration (HRC) in masonry construction. The research is conducted within the Building 4.0 CRC framework and leverages advanced facilities at QUT alongside industry partners such as Brickworks and the ARM Hub.By integrating collaborative robots (cobots), augmented reality (AR), parametric design tools (e.g. Grasshopper 3D), and AI algorithms, we aim to develop innovative workflows that enhance construction efficiency and material performance through the use of novel binders.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment
Research centre(s)
QUT Resilience Centre

Interactive (and collaborative) robot programming using language (Project 2.5 - Joint CSIRO/ACC)

Programming robots to carry out desired tasks is difficult and time-consuming. This PhD project focuses on collaborative and instructional dialogue agents to help human operators program robot tasks.In this collaborative scenario, a human operator converses with an AI agent to explain the steps that are to be performed, using high-level references and abstractions that make sense to the human, as opposed to simple verbal instructions corresponding to rudimentary robot movements. The AI agent must interpret the high-level instructions and translate …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

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