Embodied Intelligence · Assistive Robotics · Intelligent Sensing

Research, projects and student innovation with real-world impact

A curated portfolio connecting funded research programmes, supervised student projects, publications, prototypes and public-facing demonstrations.

Professor Praminda Caleb-Solly

About

Professor Praminda Caleb-Solly

Professor Praminda Caleb-Solly is Professor of Embodied Intelligence in the School of Computer Science at the University of Nottingham, University Academic Lead for the National Rehabilitation Centre, and an Honorary Visiting Professor at Nottingham University Hospitals NHS Trust.

Her research focus is assistive robotics and intelligent sensing, with 25+ years’ experience spanning academia and health technology translation, including four years in an assistive-technology SME/charity, Designability. She holds a PhD in Computer Science, an MSc in Biomedical Instrumentation Engineering, and a BEng (Hons) in Electronic Systems Engineering.

She leads the CHART research group, delivering interdisciplinary research programmes focused on evaluation, safety assurance and adoption of robotics and connected health technologies. Her governance and standards roles include Co-Chair of the IEEE RAS Technical Committee on Robot Ethics and membership of robotics and ethics standards committees, including UK BSI robotics committees.

She led the EPSRC Healthcare Technologies Network+ EMERGENCE, which has produced a White Paper on Robotics in Health and Social Care, and co-leads the NIHR RehabHRC Enabling Participation theme. She is also Co-Founder and Director of Robotics for Good CIC, supporting responsible development and deployment of robotics and AI for public benefit. She chairs the IEEE AgeTech committee on Intelligent Care Augmentation Systems.

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Project collections

Select a collection below to explore Praminda's projects, publications and videos.

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Supervised Student Projects

Dissertation and project work supervised by Praminda Caleb-Solly, including student-led prototypes, publications, videos and conference outputs.

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Funded Research Projects

Funded programmes and collaborative research projects in assistive robotics, rehabilitation technologies, intelligent sensing, safety assurance and responsible innovation.

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Post-Graduate Researchers

PhD Researchers

Current and past PhD researchers contributing to assistive robotics, embodied intelligence, intelligent sensing, human-robot interaction, rehabilitation technologies and responsible innovation.

Current PhD Researchers

Director of Studies

  1. Jialin Chen Digital Twins for Human-Assistive Robot Teams
  2. Angela Higgins Co-Designing Embodied Artificial Intelligence for the Management of Chronic Pain
  3. Elsa Kitching Assistive Robotics for Functional Recovery in Deconditioning
  4. Gabriel Leach Intelligent Sensing in Smart Environments for Human Activity Recognition
  5. Adam Biggs Transformer Models to Support Scene Understanding
Current PhD Researchers

Supervisory Team

  1. Ziling Wu Adaptive Machine Learning for Self-Supervised Instance Segmentation
  2. Adrian Vecina Tercero Multimodality in Robot Learning from Demonstration
  3. Li Wang Digital Twin-Enabled Post-Occupancy Evaluation for Healthcare Facilities
  4. Ashley Graham-Brown Accessible Extended Reality
  5. Mohammad Alsaigh Intelligent Sensing for Mobility Assessment
  6. Ali Dagli Exploring Spine Kinematics, Gait and EMG for Pain Diagnosis
Past PhD Researchers

Completed PhD Projects

  1. Antonella Camilleri 2023 · Quantifying Safe Human-Robot Interaction by Developing a Measure for Collaboration in Close Proximity Human-Robot Interaction
  2. Joseph Bolarinwa 2022 · The Effect of Multimodal Feedback on Tele-Operator Performance – Telerobotics for Remote Assistance
  3. Prankit Gupta 2021 · Intelligent Data Processing to Support Self-Management and Responsive Care in a Smart Home Environment
  4. Linda Sumpter 2021 · Facilitating Family Engagement in Older People’s Home-Based Reablement: A Realist Inquiry
  5. Anouk van Maris 2020 · Ethical Implications of Artificial Expression of Emotion by Social Robots in Assistive Contexts
  6. Katie Winkle 2020 · Expert-Informed Design and Automation of Persuasive, Socially Assistive Robots
  7. Alison Flind 2015 · An Exploration of Expressive Feedback as a Method for Improving the Human-Computer Relationship
  8. Belsam Atallah 2015 · The Affordances of Virtual World Technologies to Empower the Visualisation of Complex Theory Concepts in Computer Science: Enhancing Success and Experience in Higher Education
  9. Abeer Alunaim 2015 · Designing and Evaluating a Contextual Mobile Learning Application to Support Situated Learning
  10. Michel Stuer 2013 · A Modified Neocognitron for Pattern Recognition with an Application to Respiratory Signal Classification