A framework for building mobile robot applications . Application to multi - robot projects
نویسندگان
چکیده
The complexity of robot software systems calls for the use of some well-conceived architecture together with programming tools that support the architecture. These sets of tools are usually named robot programming frameworks. One common feature of robot architectures is the modular decomposition of systems into simpler and largely independent components. These components implement primitive actions and report events about their state. These modules are usually connected with different inter-process communication mechanisms. There are two basic communication approaches: client/server and publish/subscribe. The robot programming framework proposed here includes a tool (RoboGraph) to program and coordinate the activity (tasks) of these middleware modules. This tool is easily extensible to any architecture that uses a publish/subscribe communication approach. Project developers use the same task programming IDE (RoboGraph) in two different levels. The first one is to program tasks that must be executed by one robot and the second level is to program tasks that can include several robots and building elements. Tasks are described using an interpreted Petri net editor and stored in an xml file. A dispatcher loads these files and executes the different Petri nets as needed. A monitor that shows the state of all the running nets is very useful for debugging and tracing purposes. The whole system has been used in two different applications: A multi-robot surveillance project (WatchBot) and a tour-guide robot (GuideBot) that has been leading users in a public event (XuventudeGalicia.net) for the 2007 and 2008 editions.
منابع مشابه
Effective Mechatronic Models and Methods for Implementation an Autonomous Soccer Robot
Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...
متن کاملNavigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network
Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...
متن کاملDynamic Obstacle Avoidance by Distributed Algorithm based on Reinforcement Learning (RESEARCH NOTE)
In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...
متن کاملPath Following and Velocity Optimizing for an Omnidirectional Mobile Robot
In this paper, the path following controller of an omnidirectional mobile robot (OMR) has been extended in such a way that the forward velocity has been optimized and the actuator velocity constraints have been taken into account. Both have been attained through the proposed model predictive control (MPC) framework. The forward velocity has been included into the objective function, while the a...
متن کاملMap-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013