公开(公告)号：US20030074166A1

公开(公告)日：2003-04-17

申请号：US09973786

申请日：2001-10-11

Applicant: Xerox Corporation

Inventor： Warren B. Jackson ,  Oliver P. Guenther ,  Tad H. Hogg ,  Bernardo A. Huberman

IPC: G06F017/10 ,  G06F007/60

CPC classification number: G05B13/048 ,  G05B17/02

Abstract: A market based learning mechanism for controlling smart matter learn an appropriate organizational control structure for a multiple actuator-sensor dynamical system for use in optimizing system control. The more successful one or more of a plurality of control methods are in predicting system operation, the more weight the successful methods are given in controlling the system.

Abstract translation: 用于控制智能物位的市场学习机制为多重执行器 - 传感器动力系统学习适当的组织控制结构，用于优化系统控制。 多个控制方法中的一个或多个控制方法在预测系统操作中越成功，控制系统中成功的方法的权重越大。

公开(公告)号：US20030109958A1

公开(公告)日：2003-06-12

申请号：US10064288

申请日：2002-06-28

Applicant: XEROX CORPORATION

Inventor： Tad H. Hogg ,  Arancha Casal ,  Jeremy Kubica

IPC: G06F019/00

CPC classification number: G06N3/008

Abstract: The invention provides methods of operating a robot comprised of a plurality of modules during reconfiguration, rearrangement to provide a support structure and internal manipulation, each module made of a cubic shape with six faces, each face including an arm for expansion and contraction with another module.

Abstract translation: 本发明提供了在重新配置期间操作由多个模块组成的机器人的方法，重新布置以提供支撑结构和内部操纵，每个由具有六个面的立方体组成的模块，每个面包括用于与另一个模块进行膨胀和收缩的臂 。