Traditionally, robots have been designed for precise, repetitive tasks in industrial settings. However, as technology becomes more accessible, integrating robots into human environments is increasingly feasible. This requires rethinking robot design, sensor technology, and control mechanisms. Nature offers valuable insights; for instance, the human fingertip, with its network of mechanoreceptors, enables remarkable dexterity. Additionally, humans use kinesthetic feedback to understand interactions with objects. By drawing inspiration from natural systems, we aim to develop advanced robotic systems capable of intuitive and effective interaction with their surroundings and humans.
When we think of medical robots, we often envision large systems for laparoscopic surgery, like the Intuitive Surgical DaVinci system, or orthopedic surgery robots such as Robodoc. Bringing these devices to the clinical and market is challenging and requires substantial funding. However, besides complex surgical procedures which require equally sophisticated systems, numerous other medical procedures are carried out in day-to-day clinical practice which could benefit from robotic assistance, let it be to improve procedure outcomes or offload the practitioner. One aim of our research is to develop assistive devices to reduce complexity of interventions and make them safer or more accessible for clinician and patient.
Actuators are a fundamental building block for a robotic device. However, robotic actuators commonly used today are often bulky and can't sense changes in the environment, despite being mechanically able to do so. Take for instance a direct current motor. The current drawn by the motor is directly proportional to the torque it produces, which correlates to the mechanical load applied to the motor. By measuring the motor's current, one can intrinsically sense the load. Whilst traditional motors require significant gearing, which hinders efficient load sensing, fluid-driven devices are less impacted by transmission losses and can provide efficient force sensing capabilities with only a fluid pressure sensor. Some aspects of our work therefore explore fluid pressure-based force sensing capabilities of robotic devices, to enhance interactivity between device and human.
If any of the above sparks your interest, we regularly have opportunities for BSc/BEng, MSc/MEng and PhD projects. Check out the Opportunities page for any currently open posts or get in touch via email.
We're located at St. Thomas' Hospital with laboratory spaces across Lambeth and South Wing. Most of our research activities take place at the KCL BMEIS Surgical & Interventional Engineering Facility.
[1] Lindenroth, L., Housden, R. J., Wang, S., Back, J., Rhode, K., & Liu, H. (2019). Design and integration of a parallel, soft robotic end-effector for extracorporeal ultrasound. IEEE Transactions on Biomedical Engineering, 67(8), 2215-2229.
[2] Lindenroth, L., Stoyanov, D., Rhode, K., & Liu, H. (2022). Toward intrinsic force sensing and control in parallel soft robots. IEEE/ASME Transactions on Mechatronics, 28(1), 80-91.