With a background in Computer Science, Robotics and Virtual Environments, Vijay leads a multidisciplinary team developing autonomous and semi-autonomous robotic tools to help manipulate objects across multiple scales beyond human capabilities. At the TouchLab, one end of the spectrum includes devices that allow operators to touch, feel and manipulate objects at the size of a cell, a technology which will be useful for a broad range of applications ranging from material science to microbiology and nanomedicine. For human scale interactions, the team develops robotic healthcare tools allowing medical interventions such as endoscopy, laparoscopy and ultrasound scans to be carried out remotely. Through the Autonomous Manufacturing Lab, Vijay also investigates applications suitable for large scale heavy industry, manufacturing and on-site construction; considering new ways of controlling autonomous robotic systems such as those needed for the remote inspection of dirty, duly and hard to reach tasks.
The Autonomous Manufacturing Lab at University College London (AML-UCL) explores the integration of design and production processes of building manufacturing. AML-UCL leverages dedicated infrastructure and expertise supporting research activities in: real-time robotics, teleoperation, computer vision, machine learning, computational modelling, multi-modal sensing, metrology, and control to develop the next generation of autonomous multi-agent systems that move beyond human capabilities in manufacturing and large-scale construction.
The TouchLab at University College London specialises in Robotics and Computer Science research for applications in the Life Sciences and Biology. This is multidisciplinary team focusing on the development of novel imaging, hardware and software interfaces through which a user can be immersed in microscale environments so as to touch, manipulate and assemble micro/nanostructures as easily as we handle objects in our macroscopic world. Just as the optical microscope extended our vision to discover cells, such a system would extend our reach into micro-worlds to explore biological phenomenons