University of York
🇬🇧 GB
Papers
367
Total Citations
7,282
H-Index
39
Researchers
289
About
The University of York has established itself as a vibrant and multidisciplinary research institution with particularly strong contributions to robotics, autonomous systems, and artificial intelligence. Spanning foundational algorithms to cutting-edge applications, York's researchers have consistently pushed boundaries across decades of innovation. York's robotics heritage runs deep, with seminal work in mobile robot navigation and simultaneous localization and mapping dating back to the 1990s. Their pioneering 2D range scan matching algorithms, now cited over 400 times, laid crucial groundwork for robot pose estimation in unknown environments—a problem central to autonomous navigation. This early strength in multi-robot systems evolved into influential collaborative exploration strategies and odometry error reduction techniques that remain widely referenced in the field. More recently, York has demonstrated impressive versatility, excelling in areas including deep reinforcement learning for drone navigation, formal verification of robotic software through the RoboChart modelling framework, and human-robot collaborative manufacturing enhanced by Digital Twin technology. The institution's researchers have also made internationally recognized contributions to medical robotics, including groundbreaking origami-based ingestible robots for internal wound repair and frameworks for evaluating surgical robotic systems. Their work on modular space robotics and underactuated robotic systems further demonstrates remarkable breadth. Beyond hardware and algorithms, York scholars have meaningfully engaged with broader societal questions, examining how robotics and autonomous systems can advance the UN Sustainable Development Goals and exploring ethical dimensions of self-aware machines in commerce and society. With research spanning autonomous systems, AI safety, human-computer interaction, and responsible innovation, the University of York offers prospective students and collaborators a rich, intellectually diverse environment where technical excellence meets real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Robot pose estimation in unknown environments by matching 2D range scans412 citations · 1994
- 2Mechanical computing263 citations · 2021
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- 4Deep reinforcement learning for drone navigation using sensor data169 citations · 2020
- 5Learning in multi-agent systems152 citations · 2001
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- 10Human-Computer Interaction – INTERACT 2019119 citations · 2019
Faculty & Researchers
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