Abstract-This paper addresses the problem of generating a path for a fleet of robots navigating in a cluttered environment, while maintaining the so called generalized connectivity. The main challenge in the management of a group of robots is to ensure the coordination between them, taking into account limitations in communication range and sensors, possible obstacles, inter-robot avoidance and other constraints. The Generalized Connectivity Maintenance (GCM) theory already provides a way to represent and consider the aforementioned constraints, but previous works only find solutions via locally-steering functions that do not provide global and optimal solutions. In this work, we merge the GCM theory with randomized pathplanning approaches, and local path optimization techniques to derive a tool that can provide global, good-quality paths. The proposed approach has been intensively tested and verified by mean of numerical simulations.
Nowadays, factories are required to increase production flexibility in order to manufacture small-lot variants, rapidly adapting to customer demands. Furthermore, manufacturing may involve complex manipulation tasks, usually performed by human workers. In such a context, traditional robotic systems are not competitive due to the huge costs of installation, maintenance and adaptation. A new generation of robots, equipped with multiple arms, is appearing as an attractive alternative because of their potential versatility and ability to execute intricate manipulation tasks. To facilitate the integration of these robots in a work-cell and a rapid adaptation to different tasks, easyto-use programming interfaces and a high degree of autonomy are mandatory. Autonomous task and motion planning are particularly relevant in this context. In this paper, we present our recent progress in this direction. Hardware and software developments are explained in the context of a pilot dual-arm robot station that is being integrated in the production line of a big airplane manufacturer. First experimental results are also presented. Index Terms-Dual-arm manipulation, coordinated manipulation, motion planning, flexible task programming software.
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