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Research & Innovation

Established in 2007 within the Department of Engineering, The Centre for Robotics Research (CORE) is a leading hub for multidisciplinary robotics innovation.

Integrating expertise from mechanical engineering, electronics, computer science, AI, and systems design, CORE addresses real-world challenges through cross-sector collaboration.

With partnerships across manufacturing, healthcare, automotive, food, and space industries, the centre fosters global impact through a network of 100+ academic and industrial collaborators. It features over 350m² of dedicated robotics lab space as part of a £40 million engineering investment.

CORE has contributed to over £30 million in R&D projects funded by major bodies including UKRI, EU, RAEng, RS, UKSA, and ESA.

 

Priorities

Enabling sustainable solutions

Our research advances the robotics and autonomous systems that contribute to sustainable practices across industries, from manufacturing and space to healthcare.

Innovating ethical robotics

We commit to ethical considerations, researching robotics with a focus on responsibility, transparency and inclusivity.

Interdisciplinary excellence

We aim to lead in interdisciplinary research, fostering collaborations that transcend traditional boundaries and amplify the impact of robotic advancements.

Empowering future innovators

Through cutting-edge educational programs (such as CORE-led MSc and PhD in Robotics), we aspire to empower the next generation of robotics leaders, equipping them with the skills and mindset needed to tackle future challenges.

Global thought leadership

We envision our research and educational initiatives contributing to global thought leadership in robotics, influencing the discourse and shaping the trajectory of this dynamic field.

People

Nicola Bailey

Dr Nicola Bailey

Senior Lecturer in Engineering

Oya Celiktutan

Dr Oya Celiktutan

Reader in AI and Robotics

Jian Dai

Professor Jian Dai

Emeritus Professor of Mechanisms and Robotics

Antonio Forte

Dr Antonio Forte

Senior Lecturer in Engineering

Yang Gao

Professor Yang Gao FIET FRAeS

Professor of Robotics in the Department of Engineering

Matthew Howard

Themes

Reconfigurable robot Origaker
Structure

The design of the physical structure comprising a robot’s body is key to enabling motion, balance and manipulation. Robots that can change body shape, such as ‘metamorphic’ and ‘soft body’ robots, provide unique flexibility to navigate uneven surfaces and constrained spaces, while manipulators that can change can grasp irregular objects and perform dexterous tasks. Why is it hard for a robot to walk? Robots need to carry a processor and power supply, as well as sensors, and these components can be heavy and awkward. Metamorphic or ‘origami’ designs allow a robot’s structure to rebalance as it moves, making walking more tractable. Why is it difficult for a robot to grasp? Picking up objects requires a complex combination of vision and touch. Creating robots that can grasp, hold, tilt, and push objects with just the right amount of strength brings robots closer to human-like dexterity, and greatly increases their usefulness.

    PhD students flying a drone
    Sensing

    Robotic sensing gives robots the ability to see, touch, hear and move around with the help of environmental feedback. Robotic sensors may be analogous to human sensors, or may allow robots to sense things that humans cannot. Sensing can be ‘local’, where robots are in the same physical space as human controllers or collaborators. ‘Haptic’ sensing is one type of local sensing. Haptic data can enable a robot to interact successfully with the physical world. Researchers in this area try to understand how people make use of touch and apply this understanding to develop robots that perform more accurately – possibly saving lives in the process! Sensing can also be ‘remote’, where robots are located away from humans. Remote sensing includes medical imaging sensors that are attached to probes and employed for surgical procedures, chemical sensors that are attached to mobile robots and employed for detecting explosives, and environment sensors that are attached to drones (unmanned aerial vehicles, or UAVs) and are employed for observing and modelling the earth.

      PhD student with Pepper robots
      Motion

      Walking across a room without crashing into furniture, crossing a crowded street without bumping into others or lifting a coffee cup from a table to one’s lips are tasks performed by most people without much conscious thought. But a robot has to choreograph its every move. Motion can be engineered, using kinematic equations that design trajectories for leg, arm or wheel actions, or planned, using artificial intelligence to determine sets of actions and adjust in real-time if feedback indicates that actions were not executed as planned. The path or trajectory of such motion should be designed effectively, so that a robot achieves its goal, and efficiently, so that it does not waste energy, a precious resource for any robot.

        A student interacting with TIAGo robot
        Human-Robot Interaction

        Human-robot interaction (HRI) research attempts to study the expectations and reactions of humans with respect to robots so as to ensure effective interactions. This can range from how workers behave when controlling robots remotely, to how humans trapped in a collapsed building might respond to a rescue robot, to how people can make decisions jointly with intelligent robots. HRI research is integrated within much of our robotics research: if we know how humans are likely to respond, we can build robots that fit in with that behaviour.

          A researcher adjusting a robotic arm
          Learning

          Learning is how robots can acquire skills or adapt to environments beyond their pre-programmed behaviours. Robots can learn in many ways – by reinforcement, by imitation, and autonomously, for example. As such methods develop, new applications for robotics are emerging that aim to bring AI (artificial intelligence) into the ‘real world’. ‘Reinforcement Learning’ techniques associate a reward with specific outcomes due to robot actions and involve an iterative process in which a robot learns to maximise its reward through sequences of trial-and-error actions. ‘Learning from Demonstration’ techniques offer human-in-the-loop training, where a robot learns to imitate the actions of a human demonstrator. ‘Statistical Machine Learning’ techniques, such as artificial neural networks, allow a robot to detect and recognise patterns in its environment and develop appropriate responses without guidance from a human teacher.

            A dog robot and reconfigurable robot Origaker
            Multi-Robot Systems

            In multi-robot systems, robots coordinate with each other to perform complex tasks that might be difficult or inefficient for a single robot. This often involves dispatching small sub-problems to individual robots and allowing them to interact with each other to find solutions. In heterogeneous robot teams, different robots have different capabilities, so the coordination becomes more constrained and hence, more complex. Multi-robot systems have a wide set of applications, from rescue missions to delivery of payloads in a warehouse.

              Publications

              News

              King's Culture announces Creative Practice Catalyst Seed Fund recipients

              King's Culture announce the recipients of a new creative practice seed fund, enabling researchers and academics to consolidate relationships with partners in...

              Arts & Culture
              Collaborative workshop at Science Gallery London

              “Interactive, fascinating, new experiences”: King's inspires future engineers at Success for Black Students outreach days

              Academics, students and technicians came together to bring engineering to life for 64 London highschoolers at two Success for Black Students events.

              Technology & Science
              Dr Naseem Ramli helping students SFBS

              King's welcomes The Princess Royal for official opening of the Quad

              HRH The Princess Royal, in her role as Chancellor of the University of London, officially opened the Quadrangle (Quad) building at King’s College London.

              University
              The Princess Royal speaking with members of King's during the official opening of the Quad

              Former Paralympian builds brighter future for prosthetic limb users with King's

              Britain’s former youngest Paralympian tested prototype prosthetic arms to create better designs

              Technology & Science
              David Hills and Sign

              COMMENT: NASA/MSFC Trump may cancel Nasa's powerful SLS Moon rocket – here's what that would mean for Elon Musk and the future of space travel

              Professor Yang Gao explores the implications of cancelling the SLS moon rocket.

              Technology & Science
              Yang Gao SLS story (1)

              People

              Nicola Bailey

              Dr Nicola Bailey

              Senior Lecturer in Engineering

              Oya Celiktutan

              Dr Oya Celiktutan

              Reader in AI and Robotics

              Jian Dai

              Professor Jian Dai

              Emeritus Professor of Mechanisms and Robotics

              Antonio Forte

              Dr Antonio Forte

              Senior Lecturer in Engineering

              Yang Gao

              Professor Yang Gao FIET FRAeS

              Professor of Robotics in the Department of Engineering

              Matthew Howard

              Themes

              Reconfigurable robot Origaker
              Structure

              The design of the physical structure comprising a robot’s body is key to enabling motion, balance and manipulation. Robots that can change body shape, such as ‘metamorphic’ and ‘soft body’ robots, provide unique flexibility to navigate uneven surfaces and constrained spaces, while manipulators that can change can grasp irregular objects and perform dexterous tasks. Why is it hard for a robot to walk? Robots need to carry a processor and power supply, as well as sensors, and these components can be heavy and awkward. Metamorphic or ‘origami’ designs allow a robot’s structure to rebalance as it moves, making walking more tractable. Why is it difficult for a robot to grasp? Picking up objects requires a complex combination of vision and touch. Creating robots that can grasp, hold, tilt, and push objects with just the right amount of strength brings robots closer to human-like dexterity, and greatly increases their usefulness.

                PhD students flying a drone
                Sensing

                Robotic sensing gives robots the ability to see, touch, hear and move around with the help of environmental feedback. Robotic sensors may be analogous to human sensors, or may allow robots to sense things that humans cannot. Sensing can be ‘local’, where robots are in the same physical space as human controllers or collaborators. ‘Haptic’ sensing is one type of local sensing. Haptic data can enable a robot to interact successfully with the physical world. Researchers in this area try to understand how people make use of touch and apply this understanding to develop robots that perform more accurately – possibly saving lives in the process! Sensing can also be ‘remote’, where robots are located away from humans. Remote sensing includes medical imaging sensors that are attached to probes and employed for surgical procedures, chemical sensors that are attached to mobile robots and employed for detecting explosives, and environment sensors that are attached to drones (unmanned aerial vehicles, or UAVs) and are employed for observing and modelling the earth.

                  PhD student with Pepper robots
                  Motion

                  Walking across a room without crashing into furniture, crossing a crowded street without bumping into others or lifting a coffee cup from a table to one’s lips are tasks performed by most people without much conscious thought. But a robot has to choreograph its every move. Motion can be engineered, using kinematic equations that design trajectories for leg, arm or wheel actions, or planned, using artificial intelligence to determine sets of actions and adjust in real-time if feedback indicates that actions were not executed as planned. The path or trajectory of such motion should be designed effectively, so that a robot achieves its goal, and efficiently, so that it does not waste energy, a precious resource for any robot.

                    A student interacting with TIAGo robot
                    Human-Robot Interaction

                    Human-robot interaction (HRI) research attempts to study the expectations and reactions of humans with respect to robots so as to ensure effective interactions. This can range from how workers behave when controlling robots remotely, to how humans trapped in a collapsed building might respond to a rescue robot, to how people can make decisions jointly with intelligent robots. HRI research is integrated within much of our robotics research: if we know how humans are likely to respond, we can build robots that fit in with that behaviour.

                      A researcher adjusting a robotic arm
                      Learning

                      Learning is how robots can acquire skills or adapt to environments beyond their pre-programmed behaviours. Robots can learn in many ways – by reinforcement, by imitation, and autonomously, for example. As such methods develop, new applications for robotics are emerging that aim to bring AI (artificial intelligence) into the ‘real world’. ‘Reinforcement Learning’ techniques associate a reward with specific outcomes due to robot actions and involve an iterative process in which a robot learns to maximise its reward through sequences of trial-and-error actions. ‘Learning from Demonstration’ techniques offer human-in-the-loop training, where a robot learns to imitate the actions of a human demonstrator. ‘Statistical Machine Learning’ techniques, such as artificial neural networks, allow a robot to detect and recognise patterns in its environment and develop appropriate responses without guidance from a human teacher.

                        A dog robot and reconfigurable robot Origaker
                        Multi-Robot Systems

                        In multi-robot systems, robots coordinate with each other to perform complex tasks that might be difficult or inefficient for a single robot. This often involves dispatching small sub-problems to individual robots and allowing them to interact with each other to find solutions. In heterogeneous robot teams, different robots have different capabilities, so the coordination becomes more constrained and hence, more complex. Multi-robot systems have a wide set of applications, from rescue missions to delivery of payloads in a warehouse.

                          Publications

                          News

                          King's Culture announces Creative Practice Catalyst Seed Fund recipients

                          King's Culture announce the recipients of a new creative practice seed fund, enabling researchers and academics to consolidate relationships with partners in...

                          Arts & Culture
                          Collaborative workshop at Science Gallery London

                          “Interactive, fascinating, new experiences”: King's inspires future engineers at Success for Black Students outreach days

                          Academics, students and technicians came together to bring engineering to life for 64 London highschoolers at two Success for Black Students events.

                          Technology & Science
                          Dr Naseem Ramli helping students SFBS

                          King's welcomes The Princess Royal for official opening of the Quad

                          HRH The Princess Royal, in her role as Chancellor of the University of London, officially opened the Quadrangle (Quad) building at King’s College London.

                          University
                          The Princess Royal speaking with members of King's during the official opening of the Quad

                          Former Paralympian builds brighter future for prosthetic limb users with King's

                          Britain’s former youngest Paralympian tested prototype prosthetic arms to create better designs

                          Technology & Science
                          David Hills and Sign

                          COMMENT: NASA/MSFC Trump may cancel Nasa's powerful SLS Moon rocket – here's what that would mean for Elon Musk and the future of space travel

                          Professor Yang Gao explores the implications of cancelling the SLS moon rocket.

                          Technology & Science
                          Yang Gao SLS story (1)

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