Research
Advancing AI & Robotics for Society
At the Smart Interactive Technologies Lab, our research explores how robots can learn, develop, and collaborate with humans. We combine insights from neuroscience, developmental psychology, and artificial intelligence to create intelligent systems that benefit society.
Neuro-Developmental Robotics
Our neuro-developmental robotics research investigates how robots can learn and develop cognitive abilities through embodied interaction with their environment, inspired by the developmental processes observed in children.
We model cognitive development using computational neuroscience approaches, creating systems that start with simple reflexes and gradually acquire complex cognitive abilities through exploration, interaction, and learning.
Research Methodologies
- •Developmental Psychology: Modeling how children learn and develop cognitive skills
- •Neuromorphic Computing: Brain-inspired architectures for autonomous learning
- •Embodied AI: Learning through physical interaction with the environment
- •Mental Imagery: Internal simulation and planning before action execution
Key Outcomes
- ✓Robots that learn autonomously without extensive programming
- ✓Adaptive systems that generalise across different tasks and environments
- ✓Novel insights into human cognitive development through computational models
Featured Projects
PRIMI
Horizon Europe2023-2027 | €4M+ Funding
Performance in Robots Interaction via Mental Imagery. This project develops robots that can use internal mental simulation to plan and execute complex interactions, similar to how humans mentally rehearse actions before performing them.
Visit Project Website →ALDENS
EPSRC2023-2025 | £202k EPSRC Funded
Autonomous Learning and Development in Embodied Neuromorphic Systems. Combining developmental robotics with neuromorphic computing to create real-time developmental learning for robots, enabling them to learn autonomously through processes similar to biological systems.
Visit Project Website →Socially Assistive Robotics
Our socially assistive robotics research focuses on developing intelligent robotic systems that provide support, companionship, and assistance to healthcare workers, elderly individuals, and people with special needs.
We create robots that can engage in natural, empathetic social interaction while respecting user autonomy and privacy. Our systems adapt to individual needs and preferences, providing personalized support that enhances quality of life.
Application Areas
- •Healthcare Support: Assisting medical professionals with patient monitoring and care
- •Active Aging: Supporting independent living for elderly populations
- •Rehabilitation: Motivating and guiding patients through therapy exercises
- •Social Companionship: Reducing loneliness and social isolation
Impact & Validation
- ✓Real-world deployments in healthcare and care home settings
- ✓Clinical trials demonstrating effectiveness and user acceptance
- ✓Collaboration with NHS and care providers for practical impact
Featured Projects
I'M ACTIVE
Healthcare2021-2024 | UK Research Councils
Interactive Monitoring for Active Living. Developing robotic systems that encourage and support active ageing through physical activity monitoring, social engagement, and personalised health support.
SWEET
Horizon Europe2024-2027 | MSCA Industrial Doctoral Network
Social aWareness for sErvicE roboTs. Training the next generation of researchers on service robots that can perceive, interpret, and appropriately respond to humans, spanning AI, machine learning, HRI, computer vision, psychology, and cognitive sciences.
View Project Details →EMERGENCE NetworkPlus
EPSRC Network2022-2025 | Research Network
A research network exploring embodied intelligence for healthcare applications. Bringing together researchers, clinicians, and industry partners to advance assistive robotics in healthcare settings.
East Midlands Service Robotics Competition 2026
We have added the competition page for a RoboCup-inspired restaurant task at Sheffield Hallam University on 20-21 June 2026. It includes event details, participation routes, and an expression-of-interest form for teams, presenters, judges, and partners.