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Evolution of Diverse, Manufacturable Robot Body Plans

机译:不同,可制造的机器人身体计划的演变

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Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new challenges, in that robot models that can be instantiated from an encoding in simulation might not be manufacturable in practice (due to constraints associated with the 3D printing and/or automated assembly processes). We introduce a representation for evolving (wheeled) robots with a printed plastic skeleton, and evaluate three variants of a novelty-search algorithm in terms of their ability to produce populations of manufacturable but diverse robots. While the set of manufacturable robots discovered represent only a small fraction of the overall search space of all robots, all methods are shown to be capable of generating a diverse population of manufacturable robots that we conjecture is large enough to seed an evolving robotic ecosystem.
机译:快速原型的进步已经在进化机器人中开辟了新的研究途径,不仅是控制器,而且可以在机器人的身体计划(形态)在实时和现实空间中发展。然而,这也介绍了新的挑战,在可以在模拟中的编码中实例化的机器人模型可能在实践中不可制造(由于与3D打印和/或自动组装过程相关联的约束)。我们介绍演变与印刷塑料骨架(轮式)机器人的表示,并评估一个新颖性搜索算法的三种变型中的自己的能力可制造的,但不同的机器人的生产种群条款。虽然发现的一系列被发现的机器人只代表所有机器人的整体搜索空间的一小部分,但所有方法都被证明能够产生多样化的可制造机器人,我们猜想足够大,以使一种不断发展的机器人生态系统进行种子。

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