Automated support for human mixed initiative decision and control

Penner, Robin R.; Steinmetz, Erik S.

doi:10.1109/cdc.2003.1271698

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…MICA research emphasized mixedinitiative control of teams of automated systems, with the integration of numerous collaborative planning agents who operate with variable autonomy. Details of the approach and the architecture are given in [1], [2], [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

Automated interaction design for command and control of military situations

Penner¹,

Steinmetz²

2004

Proceedings of the 9th International Conference on Intelligent User Interfaces

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We will demonstrate the SHARED software, which contains an implementation of the Automated Interaction Design (AID) approach to dynamic creation of user interfaces. AID uses multiple agents, multiple models, and productive compositional processes to generate need-based user interfaces within a complex control domain. In addition to demonstrating operational software that responds to military interaction needs, we will present details of the underlying models and operations that support user interface generation in this domain.

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Section: Introductionmentioning

confidence: 99%

Automated interaction design for command and control of military situations

Penner¹,

Steinmetz²

2004

Proceedings of the 9th International Conference on Intelligent User Interfaces

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“…This is due to the complexity and cost involved on reproducing the problems of scientific interest in reality. Nevertheless, nowadays the AP field is receiving much attention from various production sectors such as logistics [2], satellites [3], [4], critical and control decision systems [5], [6], and even military operations and evacuation [7].…”

mentioning

confidence: 99%

Control of autonomous mobile robots with automated planning

Barrios¹,

Olaya²,

Millán³

et al. 2011

jopha

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Abstract-In this paper we present an approach for the control of autonomous robots, based on Automated Planning (AP) techniques, where a control architecture was developed (ROPEM: RObot Plan Execution with Monitoring). The proposed architecture is composed of a set of modules that integrates deliberation with a standard planner, execution, monitoring and replanning. We avoid robotic-device and platform dependency by using a low level control layer, implemented in the Player framework, separated from the high level task execution that depends on the domain we are working on; that way we also ensure reusability of the high and low level layers. As robot task execution is non-deterministic, we can not predict the result of performing a given action and for that reason we also use a module that supervises the execution and detects when we have reached the goals or an unexpected state. Separated from the execution, we included a planning module in charge of determining the actions that will let the robot achieve its high level goals. In order to test the performance of our contribution we conducted a set of experiments on the International Planning Competition (IPC) domain Rovers, with a real robot (Pioneer P3DX). We tested the planning/replanning capabilities of the ROPEM architecture with different controlled sources of uncertainty.

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“…Penner et al looked into an object-oriented system that would automatically create the interfaces and information displays needed by the user [16]. Each UAV or item of interest in the environment owned a list of information traits and changeable parameters.…”

Section: Current Researchmentioning

confidence: 99%

Managing multiple unmanned aerial vehicles from a 3D virtual environment

Knutzon

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Automated support for human mixed initiative decision and control

Cited by 3 publications

References 3 publications

Automated interaction design for command and control of military situations

Automated interaction design for command and control of military situations

Control of autonomous mobile robots with automated planning

Managing multiple unmanned aerial vehicles from a 3D virtual environment

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