Multiagent robotic systems

行星在召唤。它们在行星探索中扮演着并将继续发挥核心作用。它们将先于我们到达火星，并将从字面上为我们重返月球铺平道路。它们目前是我们的代理探险者，但随着我们开始进一步进入太阳系，它们最终将成为我们的伴侣。它们将需要机器人殖民地来就地利用资源，并在外星人的土地上建造栖息地。但机器人必须是健壮的，自主和智能。这不仅是空间机器人学面临的巨大挑战，也是整个机器人学面临的巨大挑战。专家们表示，拟议的研究计划专门针对多智能体机器人系统。这项工作非常多学科，涉及工程学、计算机科学、物理学、生物学和哲学。该项目的目标是促进对多智能体系统动力学的理解，并开发基于生物的(仿生)控制和机器人自组织的方法。尤其是，人工神经组织(ANT)的发展被提出。我们认为这项工作是为机器人控制建立一种新的范式。蚂蚁体系结构的目标是使在生物大脑中观察到的空间差异能够解释专业化，展示从与现实世界的交互中出现的智能，并在真实机器人上体现这一概念并评估其性能。人工进化方法和人工发育生物学将是这项工作的特点。细胞自动机也将被用于研究多智能体相互作用和自组织。尽管拟议的研究将以行星探索应用为目标，此外，还将考虑更广泛的接近地球的应用。此外，希望这项工作还将有助于揭示一般的运动控制过程的生物学，这反过来可能有助于我们了解神经运动疾病。事实上，在一项相关工作中，提出了使用细胞自动机对癌症转移进行建模。

The planets beckon.  Robotics play and will continue to play a central role in planetary exploration.  They will precede us to Mars and will, in a very literal sense, pave the way for our return to the Moon.  Robots are currently our surrogate explorers but they will eventually become our companions as we begin to take steps farther into the Solar System.  Robot colonies will be required for resource utilization in situ and to construct habitats on alien soil.  But the robots must be robust, autonomous and "intelligent."  Herein lies the great challenge not just for space robotics but robotics in general.     The proposed research program is specifically aimed at multiagent robotic systems.  The work is very multidisciplinary, drawing on engineering, computer science, physics, biology and philosophy.  The goal of this project is to advance the understanding of the dynamics of multiagent systems and to develop biologically based (biomimetic) methods of control and self-organization in robotics.     In particular, the development of what we call an "artificial neural tissue" (ANT) is proposed.  We see this work as establishing a new paradigm for robotic control.  The objectives for the ANT architecture is to enable spatial differentiation observed in biological brains that accounts for specialization, to demonstrate the emergence of intelligence from interaction with the real world and to embody the concept and evaluate its performance on real robots.  Artificial evolutionary approaches and artificial developmental biology will characterize the tack taken in this work.  Cellular automata will also be used to study multiagent interactions and self-organization.  While the proposed research will target planetary-exploration applications, broader applications closer to Earth will also be considered.  Moreover, it is hoped that this work will also shed light on the biology of motor control processes in general that might in turn help us understand neuromotor diseases.  Indeed, in a related work, the modelling of cancer metastasis using cellular automata is proposed.