Funded Robotics and Virtual Reality PhD on EPSRC Aerial ABM @ UCL Computer Science

University College of London, Department of Computer Science

Duration of Studentship: 3.5 years

UCL Computer Science has a funded PhD available contributing to an EPSRC funded research on Aerial Additive Building Manufacturing (Aerial ABM).  See website: http://www.aerial-abm.com/

The person in this role will build on-board and off-board software platforms and interfaces to digitally design 3D objects whilst interacting with a swarm of aerial and ground based robots. They will also investigate different methods for instructing and coordinating a swarm of robots to autonomously build 3D digital designs using additive manufacturing techniques. The overall goal is to fuse a diverse range of information channels and technologies from virtual reality, augmented reality, computer vision, teleoperation, human-robot interaction, swarm robotics, machine learning, real-time low latency communication, and mechanical 3D simulation.

Closing date for applications:  1st October 2016                                                                                                                                                  

Supervisors:

       Prof. M.A. Srinivasan

       Dr V.M. Pawar (v.pawar@ucl.ac.uk)

       R. Stuart-Smith (r.stuart-smith@ucl.ac.uk)

 

UCL Computer Science has a funded PhD available contributing to an EPSRC funded research on Aerial Additive Building Manufacturing (Aerial ABM).  See website: http://www.aerial-abm.com/

The research will develop an aerial robotic construction system that enables aerial robots to 3D print building structures autonomously. Additive Building Manufacturing (ABM) is already being trialled in many parts of the world by the construction industry. It involves the use of large robots on a building site that extrude building materials to construct buildings, similar to a 3D printer. This process has the advantage of reducing construction times, material and transport costs and easing traffic and environmental impacts. These technologies also have the potential to improve safety in the building industry.

The person in this role will build software platforms and interfaces to digitally design 3D objects whilst interacting with robots. They will also investigate different methods for instructing and coordinating a swarm of robots (aerial and ground based robots) to autonomously build 3D digital designs using additive manufacturing techniques. The overall goal is to fuse a diverse range of information channels and technologies from virtual reality, augmented reality, computer vision, teleoperation, human-robot interaction, swarm robots, machine learning, real-time low latency communication, and mechanical 3D simulation.

The successful applicant will be enrolled as PhD student at UCL. They will receive stipend support which includes tuition fees at the UK/EU rate also covered by the project. We can only recruit at the UK/EU level.

The project will be supervised by Prof. Srinivasan, Dr. V. M. Pawar and R. Stuart-Smith. Please contact either Dr V.M. Pawar (v.pawar@ucl.ac.uk) or R. Stuart-Smith for further details.

The multi-million pound grant involves researchers from a number of institutions including Imperial College London, the University of Bath, University College London and the Architectural Association School of Architecture. Industrial partners on the projects are leaders in construction, robotics and 3D printing and include the BRE Trust, Buro Happold, Cementation Skanska, Dyson Limited and Ultimaker BV.  A podcast announcement on Imperial College’s website provides further information here.

 

Applicants are required to have:

  • First of upper second class degree and a Master’s degree (or equivalent) in Computer Science or related field;
  • An interest in digital fabrication, robotics and additive manufacturing
  • Good knowledge of computer graphics and mathematics; background in machine learning will be a plus
  • Strong programming skills, particularly C, C++, C# and a scripting language such as Python; a background in using Unity or the Unreal engine will be a plus
  • Prior experience in ROS also preferable.
  • Good communication and presentation skills;

 

Restrictions:

We are only able to recruit UK/EU students.