2,638 research outputs found
Applying tropos to socio-technical system design and runtime configuration
Recent trends in Software Engineering have introduced the importance of reconsidering the traditional idea of software design as a socio-tecnical problem, where human agents are integral part of the system along with hardware and software components. Design and runtime support for Socio-Technical Systems (STSs) requires appropriate modeling techniques and
non-traditional infrastructures. Agent-oriented software methodologies are natural solutions to the development of STSs, both humans and technical components are conceptualized and analyzed as part of the same system. In this paper, we illustrate a number of Tropos features that we believe fundamental to support the development and runtime reconfiguration of STSs.
Particularly, we focus on two critical design issues: risk analysis and location variability. We show how they are integrated and used into a planning-based approach to support the designer in evaluating and choosing the best design alternative. Finally, we present a generic framework to develop self-reconfigurable STSs
Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study
Developing robot agnostic software frameworks involves synthesizing the
disparate fields of robotic theory and software engineering while
simultaneously accounting for a large variability in hardware designs and
control paradigms. As the capabilities of robotic software frameworks increase,
the setup difficulty and learning curve for new users also increase. If the
entry barriers for configuring and using the software on robots is too high,
even the most powerful of frameworks are useless. A growing need exists in
robotic software engineering to aid users in getting started with, and
customizing, the software framework as necessary for particular robotic
applications. In this paper a case study is presented for the best practices
found for lowering the barrier of entry in the MoveIt! framework, an
open-source tool for mobile manipulation in ROS, that allows users to 1)
quickly get basic motion planning functionality with minimal initial setup, 2)
automate its configuration and optimization, and 3) easily customize its
components. A graphical interface that assists the user in configuring MoveIt!
is the cornerstone of our approach, coupled with the use of an existing
standardized robot model for input, automatically generated robot-specific
configuration files, and a plugin-based architecture for extensibility. These
best practices are summarized into a set of barrier to entry design principles
applicable to other robotic software. The approaches for lowering the entry
barrier are evaluated by usage statistics, a user survey, and compared against
our design objectives for their effectiveness to users
Rational physical agent reasoning beyond logic
The paper addresses the problem of defining a theoretical physical agent framework that satisfies practical requirements of programmability by non-programmer engineers and at the same time permitting fast realtime operation of agents on digital computer networks. The objective of the new framework is to enable the satisfaction of performance requirements on autonomous vehicles and robots in space exploration, deep underwater exploration, defense reconnaissance, automated manufacturing and household automation
On Autonomous Robotic Cooperation Capabilities within Factory and Logistic Scenarios
The paper presents the development of a unified functional, algorithmic and Software (Sw) architecture, which can be adopted as a standard for controlling, at action level only, any robotic structure within a given wide class of them; even of reconfigurable type within the class. Such control architecture is therefore deemed very suitable for operating within factory and/or logistic, possibly reconfigurable, scenarios. Moreover, for the few cases of cooperative activities to be established between agents not allowed to be cable connected, an effective coordination policy, based on the exchange of a reduced information set, only regarding the cooperation goals, is developed; and relevant simulative and experimental trials are briefly outlined. Moreover, the advantage of having, in whatever operative condition, the possibility of commanding the involved structures only in terms of the ultimate goals of each action, also seems to be the right basis for having non-negligible improvements within their integration with automated action planning, and even learning, techniques
Skill-based reconfiguration of industrial mobile robots
Caused by a rising mass customisation and the high variety of equipment versions, the
exibility of manufacturing systems in car productions has to be increased. In addition to
a
exible handling of production load changes or hardware breakdowns that are established
research areas in literature, this thesis presents a skill-based recon guration mechanism
for industrial mobile robots to enhance functional recon gurability.
The proposed holonic multi-agent system is able to react to functional process changes
while missing functionalities are created by self-organisation. Applied to a mobile commissioning
system that is provided by AUDI AG, the suggested mechanism is validated
in a real-world environment including the on-line veri cation of the recon gured robot
functionality in a Validity Check.
The present thesis includes an original contribution in three aspects: First, a recon -
guration mechanism is presented that reacts in a self-organised way to functional process
changes. The application layer of a hardware system converts a semantic description into
functional requirements for a new robot skill. The result of this mechanism is the on-line
integration of a new functionality into the running process.
Second, the proposed system allows maintaining the productivity of the running process
and
exibly changing the robot hardware through provision of a hardware-abstraction
layer. An encapsulated Recon guration Holon dynamically includes the actual con guration
each time a recon guration is started. This allows reacting to changed environment
settings. As the resulting agent that contains the new functionality, is identical in shape
and behaviour to the existing skills, its integration into the running process is conducted
without a considerable loss of productivity.
Third, the suggested mechanism is composed of a novel agent design that allows implementing
self-organisation during the encapsulated recon guration and dependability
for standard process executions. The selective assignment of behaviour-based and cognitive
agents is the basis for the
exibility and e ectiveness of the proposed recon guration
mechanism
Advancing automation and robotics technology for the space station and for the US economy: Submitted to the United States Congress October 1, 1987
In April 1985, as required by Public Law 98-371, the NASA Advanced Technology Advisory Committee (ATAC) reported to Congress the results of its studies on advanced automation and robotics technology for use on the space station. This material was documented in the initial report (NASA Technical Memorandum 87566). A further requirement of the Law was that ATAC follow NASA's progress in this area and report to Congress semiannually. This report is the fifth in a series of progress updates and covers the period between 16 May 1987 and 30 September 1987. NASA has accepted the basic recommendations of ATAC for its space station efforts. ATAC and NASA agree that the mandate of Congress is that an advanced automation and robotics technology be built to support an evolutionary space station program and serve as a highly visible stimulator affecting the long-term U.S. economy
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