Grant winners – 26 January 2017

A round-up of academics awarded research council funding

January 26, 2017
Grant winners tab on folder

Natural Environment Research Council

Research grants

A socio-ecological observatory for the southern African woodlands


Hand-held technologies for assessment of nutrient digestibility


Fellowships

Facilitating knowledge exchange to manage bovine tuberculosis at the regional level


Supporting the development of marine protected area management plans based on fundamental science


European Research Council

Starting grants

  • Award winner: Selma de Mink
  • Institution: University of Amsterdam
  • Value: €1,926,634

The impact of massive binaries through cosmic time


Lists in literature and culture: towards a listology


A scalable quantum architecture


Heart regeneration in the Mexican cavefish: the difference between healing and scarring


Arts and Humanities Research Council

Research grants

  • Award winner: Krista Cowman
  • Institution: University of Lincoln
  • Value: £75,529

What difference did the war make? World War One and votes for women


New explorations into South Sudanese museum collections in Europe


Humanising algorithmic listening


In detail

Engineering and Physical Sciences Research Council

Research grant

Award winner: Mehmet Dogar

Institution: University of Leeds

Value: £101,037

Multi-robot manipulation planning for forceful manufacturing tasks

This project’s goal is to teach a team of robots to complete manufacturing tasks, such as creating furniture from raw materials. This requires robots to understand how to select and use objects to create something specific. Mehmet Dogar will write planning algorithms to help the robots tackle challenges that humans solve intuitively. The robots must be capable of solving geometric problems (such as how to angle an object); taking into account issues with stability (so that pieces may be held still while being worked on); and devising the most efficient way to complete tasks during assembly. After the algorithms have been written, a multi-robot system will be built to test them, beginning with raw manufacturing materials and – ideally – creating products. Current manufacturing robots are programmed to perform the same action many times, but these adaptable robots could benefit smaller manufacturers.

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