PhD in Safe Human-Robot Collaboration Using UWB and AI

This PhD project at Technological University Dublin focuses on advancing safe and efficient human-robot collaboration in industries like manufacturing, logistics, and healthcare. The research will integrate Ultra-Wideband (UWB) technology with AI algorithms to create intelligent safety frameworks capable of real-time human presence detection, movement prediction, and collision risk assessment. The candidate will explore sensor fusion techniques, robotic control systems, and additional technologies like computer vision and IoT to enhance situational awareness and system robustness. Aligned with Industry 5.0 principles, the project aims to support human-centric, resilient, and sustainable manufacturing systems, with potential applications in smart factories, warehouse automation, and healthcare robotics. The successful candidate will contribute to high-impact publications and collaborate with industrial partners and international networks.

• Develop intelligent safety frameworks integrating UWB technology and AI for real-time human-robot interaction monitoring.
• Investigate and implement sensor fusion techniques combining UWB, computer vision, LiDAR, and IoT devices.
• Design and test robotic control systems capable of dynamically adjusting actions based on human presence and movement prediction.
• Assess and mitigate collision risks in dynamic industrial environments using AI-driven risk assessment algorithms.
• Collaborate with industrial partners to apply research findings in real-world smart factory and warehouse automation settings.
• Publish research findings in high-quality academic journals and conferences.
• Contribute to the advancement of human-centric, resilient, and sustainable manufacturing systems.