“If the robot will be humans’ True mate, it have to recognise his intensions and adapt as much as possible to their behaviour”

Overview

Intelligent robotics, with its potential to revolutionize various sectors, holds immense importance in current society and promises a transformative impact on future advancements. The group focuses on two particularly interesting areas of focus are intelligent assistive robotics and agricultural robotics.

Intelligent assistive robotics seeks to enhance the quality of life for individuals by providing assistance in daily tasks, such as aiding the elderly or people with disabilities. These robots have the ability to understand human needs, interact intelligently, and offer support in a personalized manner. By incorporating innovative mechanisms as well as cutting-edge Computer Vision and AI approaches, these robots can perceive their environment and assist individuals safely and efficiently.

The potential impact of intelligent assistive robotics on society cannot be overstated. In the context of assistive robotics, these technologies have the potential to significantly improve the independence, safety, and overall well-being of individuals who require assistance. By providing tailored support and promoting inclusivity, intelligent assistive robots can truly transform the lives of people in need.

In the realm of agricultural robotics, the integration of intelligent robotics, embedded systems, computer vision, Natural Language Processing and Understanding, and AI techniques holds great promise. This convergence enables the development of sophisticated autonomous systems that can address various challenges in smart farming. By utilizing cutting-edge computer vision technologies, robots can accurately analyse and interpret the visual data from agricultural environments. This empowers them to perform tasks such as crop monitoring, yield estimation, and targeted interventions with precision and effectiveness.

In agriculture, the utilization of intelligent robotics can lead to increased productivity, optimized resource usage, and environmentally sustainable practices. These robots can autonomously perform labor-intensive tasks, monitor crop health, detect diseases, and optimize the application of fertilizers and pesticides. By leveraging advanced computer vision and AI approaches, they can make informed, data-driven decisions, leading to improved crop yields and reduced environmental impact.

As a group, our focus is to work directly with healthcare, industry and agricultural partners, contributing to the development and implementation of intelligent robotics solutions. By collaborating with these stakeholders, we aim to harness the potential of intelligent robotics to drive innovation and create positive societal change.

In conclusion, the groups aim for the integration of intelligent robotics, computer vision, and AI techniques has the potential to revolutionize both assistive robotics and agriculture. By leveraging advanced technologies, such as embedded systems and innovative computer vision approaches, robots can provide personalized assistance and drive transformative changes in smart farming. The impact of this technology holds immense potential in making a positive difference in society, improving individuals’ lives, and enhancing agricultural practices for a sustainable future.

Our Facilities

Key Enabling Technologies:

  • Advanced FDM and SLS Rapid Prototyping
  • Advanced Motion Capture Technology
  • Advanced 3D Body and Objects Scanning technologies
  • Advanced Computer Vision Equipment
  • Advanced Wearable technologies
  • Advanced Computational servers for simulations and AI
  • Robotic Manipulators
  • Legged Robots
  • Wheeled Robots
  • Humanoid Robots
  • Hybrid robotic platforms
  • Electronics Equipment
  • Sensors
  • Actuators

Specialist Area Leads

  • Dr Julian Hough

    Dr Julian Hough

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    Available for Postgraduate Supervision Profile I am a researcher and lecturer in human-human and human-system interaction using Natural Language Processing and Artificial Intelligence techniques, with the aim of improving human-agent interaction with agents like robots in terms of quality and ethical outcomes. Area of Expertise   Projects Specialist Areas Events

  • Professor Xianghua Xie

    Professor Xianghua Xie

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    Profile Professor Xianghua Xie is currently leading a research team on Computer Vision and Machine Learning (http://csvision.swan.ac.uk) in the Department of Computer Science, Swansea University. He was a recipient of an RCUK Academic Fellowship (tenure-track research focused lectureship) between September 2007 and March 2012. He was appointed as a Senior Lecturer from October 2012, then…

  • Dr Daniele Cafolla

    Dr Daniele Cafolla

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    Available for Postgraduate Supervision Profile Daniele Cafolla received a dual MSc degree in mechanical engineering in 2012 at the University of Cassino, Italy, and Panamerican University, Mexico.  From 2013 to 2014, he was a visiting researcher at Nanyang Technological University, Singapore. In 2016, he was awarded a PhD in Mechanical Engineering. He was a Research…

Projects

  • AEGIS

    AEGIS

    Project Overview The operational scheme of a drone named SALUS in search and rescue (SAR) operations. The project focuses on the importance of feedback from the drone to the user or control station, enabling a comprehensive understanding of the situation and aiding in decision-making. Cloud connectivity is an essential component for seamless communication.  AEGIS  uses…

Events

  • UK-Belgium Deeptech Innovation Event

    UK-Belgium Deeptech Innovation Event

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    Speaker: Professor Xianghua Xie, Computer Science, Swansea University Time: 20th March 2025 Location/Room: Brussels, Belgium Together with AI4Belgium, British Embassy Belgium invited leading Belgian companies, UK representatives, and innovators in the health tech, medtech, and life sciences sectors to meet to exchange ideas and explore collaborations during the European AI Week. This Conference was attended by Professor Xianghua…

  • AIiH 2024: International Conference on AI in Healthcare

    AIiH 2024: International Conference on AI in Healthcare

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    AIiH 2024: International Conference on AI in Healthcare 4 – 6 September 2024 | Swansea, United Kingdom We are delighted to invite you to take part in the first International Conference on Artificial Intelligence in Healthcare (AIiH 2024), which will be held in Swansea from Wednesday 4 September to Friday 6 September 2024. AIiH aims…