The aim of the project is to optimise the feeding of cattle on pasture and the management of the pasture through introduction and fusion of innovative tools like the pasture robot and the i-LEED software. Finally, a fully functional pasture robot will be demonstrated. The pasture robot will be developed based on a redesigned existing robotic platform in order to allow stable movement under difficult terrain conditions. During the optimisation phase aspects of energy consumption, energy availability and mobility management will be particularly considered. The stability problem will be approached based on adaptive and predictive control techniques, designed to compensate for the perturbations encountered in a natural environment and perform accurate path following. Furthermore, different actuators (mulcher, seeder) and adequate sensors for pasture care will be designed, build and implemented on the robot platform. In order to provide the necessary data for the actions of actuators and for the feeding strategy within the i-LEED software, suitable sensors have to be found for data collection. The sensors should provide information about the biomass (prior and past grazing) and allow detection of cowpats, heading gramineous plants, undesired plants or areas without vegetation in order to carry out selective improvement of pasture conditions after grazing and based on this to ensure optimised feeding of cattle. The i-LEED software will interact with a global Herd Management Software (HMS) providing control of the pasture robot as well as providing calculations of the optimal feeding strategy for cattle and maintenance of the pasture.