30,059 research outputs found
Intelligent Agile Method Framework
International audienceThe paper addresses the problem of the low quality of the process/product in the software development industry. In particular it deals with the issue of the low usage of software development methods, which is empirically proved to be one of the reasons for failures in software development projects and a contributor to the low quality of software. In this paper, we outline an approach that could help to improve the maturity of software development processes by circumventing the problems that hinder the use of disciplined approaches in the software development practice. The approach is based on the method engineering principles and represents a continuation of our past research in this field
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Harnessing agile concepts for the development of intelligent systems
Traditional and current approaches to intelligent systems design, have led to the creation of sophisticated and computationally-intensive packages and environments, for a wide range of applications. This paper proposes methods with which to extend the functionality of such systems, borrowing knowledge management concepts from the field of Agile Manufacturing. As such, this paper proposes that the future of intelligent systems design should be based not only upon the continuing development of artificial intelligence techniques, but also effective methods for harnessing human skills and core competencies to achieve these aims
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments
Autonomous navigation through unknown environments is a challenging task that
entails real-time localization, perception, planning, and control. UAVs with
this capability have begun to emerge in the literature with advances in
lightweight sensing and computing. Although the planning methodologies vary
from platform to platform, many algorithms adopt a hierarchical planning
architecture where a slow, low-fidelity global planner guides a fast,
high-fidelity local planner. However, in unknown environments, this approach
can lead to erratic or unstable behavior due to the interaction between the
global planner, whose solution is changing constantly, and the local planner; a
consequence of not capturing higher-order dynamics in the global plan. This
work proposes a planning framework in which multi-fidelity models are used to
reduce the discrepancy between the local and global planner. Our approach uses
high-, medium-, and low-fidelity models to compose a path that captures
higher-order dynamics while remaining computationally tractable. In addition,
we address the interaction between a fast planner and a slower mapper by
considering the sensor data not yet fused into the map during the collision
check. This novel mapping and planning framework for agile flights is validated
in simulation and hardware experiments, showing replanning times of 5-40 ms in
cluttered environments.Comment: ICRA 201
Shipbuilding 4.0 Index Approaching Supply Chain
The shipbuilding industry shows a special interest in adapting to the changes proposed by
the industry 4.0. This article bets on the development of an index that indicates the current situation
considering that supply chain is a key factor in any type of change, and at the same time it serves as a
control tool in the implementation of improvements. The proposed indices provide a first definition
of the paradigm or paradigms that best fit the supply chain in order to improve its sustainability and
a second definition, regarding the key enabling technologies for Industry 4.0. The values obtained
put shipbuilding on the road to industry 4.0 while suggesting categorized planning of technologies
Nonlinear Model Predictive Control for Multi-Micro Aerial Vehicle Robust Collision Avoidance
Multiple multirotor Micro Aerial Vehicles sharing the same airspace require a
reliable and robust collision avoidance technique. In this paper we address the
problem of multi-MAV reactive collision avoidance. A model-based controller is
employed to achieve simultaneously reference trajectory tracking and collision
avoidance. Moreover, we also account for the uncertainty of the state estimator
and the other agents position and velocity uncertainties to achieve a higher
degree of robustness. The proposed approach is decentralized, does not require
collision-free reference trajectory and accounts for the full MAV dynamics. We
validated our approach in simulation and experimentally.Comment: Video available on: https://www.youtube.com/watch?v=Ot76i9p2ZZo&t=40
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Agile elicitation of semantic goals by wiki
Formal goal and service descriptions are the shibboleth of the semantic web services approach, yet the people responsible for creating them are neither machines nor logicians, and rarely even knowledge engineers: the people who need and specify functionality are not those who provide it, and both may be distinct from the semantic annotators. The gap between users' informal conceptualisations of problems and formal descriptions is one which must be effectively bridged for semantic web services to be widely adopted. We show how a simple technique–using a wiki to collect user requirements and mediate a progressive, iterative refinement and formalisation of user goals by domain experts and their knowledge engineer colleagues–can achieve this. Further, we suggest how the process could be extended, so as to itself benefit from semantic technologies
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