scholarly journals Sequential Task Execution in a Minimalist Distributed Robotic System

2005 ◽  
Author(s):  
Chris Jones ◽  
Maja J. Mataric
Robotica ◽  
2007 ◽  
Vol 25 (2) ◽  
pp. 237-244 ◽  
Author(s):  
Oliver Prenzel ◽  
Christian Martens ◽  
Marco Cyriacks ◽  
Chao Wang ◽  
Axel Gräser

SUMMARYThis paper presents an approach to reduce the technical complexity of a service robotic system by means of systematic and well-balanced user-involvement. By taking advantage of the user's cognitive capabilities during task execution, a technically manageable robotic system, which is able to execute tasks on a high level of abstraction reliably and robustly, emerges. For the realisation of this approach, the control architecture MASSiVE has been implemented, which is used for the control of the rehabilitation robot FRIEND II. It supports task execution on the basis of a priori defined and formally verified task-knowledge. This task-knowledge contains all possible sequences of operations as well as the symbolic representation of objects required for the execution of a specific task. The seamless integration of user interactions into this task-knowledge, in combination with MASSiVE's user-adapted human–machine interface layer, enables the system to deliberately interact with the user during run-time.


1992 ◽  
Vol 4 (2) ◽  
pp. 115-121
Author(s):  
Tsuyoshi Ueyama ◽  
◽  
Toshio Fukuda ◽  
Fumihito Arai ◽  

This paper deals with an evaluation of the communication architecture for Cellular Robotic System (CEBOT) with plural master cells. The CEBOT consists of a large number of autonomous robotic units called ""cells,"" that is, the system is one of distributed robotic systems. The communication architecture is one of the important issues for distributed intelligent systems. To evaluate the effectiveness of the communication architecture, we use the network energy, which is proposed by us in the previous paper. The issue of the communication architecture for the distributed robotic system is also one of the grouping issues for the group robotic system. In this paper, we consider each master cell as a coordinator in each sub-network, where the sub-network is constructed by a master cell as a core. To evaluate the grouping network, we propose the cross-dependence matrix, which presents the relation between the cells and the task steps depending on a given task. The simulation results presents the grouping examples of the cellular network. According to the simulation results, we also describe the effect for the group structure of community or a society.


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