Funes P, Pollack J
Computer Science Department, Volen Center for Complex Systems, Brandeis University, Waltham, MA 02454-9110, USA.
Artif Life. 1998 Fall;4(4):337-57. doi: 10.1162/106454698568639.
Creating artificial life forms through evolutionary robotics faces a "chicken and egg" problem: Learning to control a complex body is dominated by problems specific to its sensors and effectors, while building a body that is controllable assumes the pre-existence of a brain. The idea of coevolution of bodies and brains is becoming popular, but little work has been done in evolution of physical structure because of the lack of a general framework for doing it. Evolution of creatures in simulation has usually resulted in virtual entities that are not buildable, while embodied evolution in actual robotics is constrained by the slow pace of real time. The work we present takes a step in addressing the problem of body evolution by applying evolutionary techniques to the design of structures assembled out of elementary components that stick together. Evolution takes place in a simulator that computes forces and stresses and predicts stability of three-dimensional brick structures. The final printout of our program is a schematic assembly, which is then built physically. We demonstrate the functionality of this approach to robot body building with many evolved artifacts.
通过进化机器人技术创建人工生命形式面临一个“先有鸡还是先有蛋”的问题:学习控制复杂身体主要受其传感器和效应器特定问题的支配,而构建一个可控的身体则假定大脑已经存在。身体和大脑共同进化的想法正变得流行起来,但由于缺乏进行物理结构进化的通用框架,这方面的工作做得很少。在模拟中生物进化通常会产生无法构建的虚拟实体,而实际机器人中的具身进化则受到实时速度缓慢的限制。我们所展示的工作朝着解决身体进化问题迈出了一步,即通过将进化技术应用于由相互黏合的基本组件组装而成的结构设计。进化在一个模拟器中进行,该模拟器计算力和应力并预测三维砖结构的稳定性。我们程序的最终输出是一个示意性组装图,然后将其进行物理构建。我们用许多进化后的工件展示了这种机器人身体构建方法的功能。