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pro vyhledávání: '"Goff, Leni K. Le"'
In evolutionary robotics, jointly optimising the design and the controller of robots is a challenging task due to the huge complexity of the solution space formed by the possible combinations of body and controller. We focus on the evolution of robot
Externí odkaz:
http://arxiv.org/abs/2403.10303
Morpho-evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings have been proposed which are capable of representing design and control. Pre
Externí odkaz:
http://arxiv.org/abs/2402.07822
Lengthy evaluation times are common in many optimization problems such as direct policy search tasks, especially when they involve conducting evaluations in the physical world, e.g. in robotics applications. Often when evaluating solution over a fixe
Externí odkaz:
http://arxiv.org/abs/2308.03574
Autor:
Goff, Léni K. Le, Buchanan, Edgar, Hart, Emma, Eiben, Agoston E., Li, Wei, De Carlo, Matteo, Winfield, Alan F., Hale, Matthew F., Woolley, Robert, Angus, Mike, Timmis, Jon, Tyrrell, Andy M.
The joint optimisation of body-plan and control via evolutionary processes can be challenging in rich morphological spaces in which offspring can have body-plans that are very different from either of their parents. This causes a potential mismatch b
Externí odkaz:
http://arxiv.org/abs/2104.04269
Robots need to understand their environment to perform their task. If it is possible to pre-program a visual scene analysis process in closed environments, robots operating in an open environment would benefit from the ability to learn it through the
Externí odkaz:
http://arxiv.org/abs/1903.04413
To solve its task, a robot needs to have the ability to interpret its perceptions. In vision, this interpretation is particularly difficult and relies on the understanding of the structure of the scene, at least to the extent of its task and sensorim
Externí odkaz:
http://arxiv.org/abs/1901.10968