Multi-robot cooperation in the MARTHA project
نویسندگان
چکیده
The Martha project objectives are the control and the management of a eet of au tonomous mobile robots for transshipment tasks in harbours airports and marshaling yards Our presentation focuses on one of the most challenging and key problems of the Martha project the multi robot cooperation Indeed high level missions are produced by a Central Station and sent to robots It is then up to the robots to re ne their missions to plan their actions and trajectories in the environment and to coordinate these actions and trajectories with the other robots In particular these coordinations occur in crossings in lanes when unexpected obstacles require the robot to move in the opposite lane and in open areas where robots need to synchronise their trajectories We present a general concept for the control of a large eet of autonomous mobile robots which has been developed implemented and validated in the framework of Martha Numerous researches have been conducted in the autonomous mobile robot eld never theless the Martha project is the rst one to add the multi robot cooperation capabilities to such a large eet of robots The Martha robots demonstrate advanced autonomous features including non holonomic motion planning environment modelling sensor based obstacle avoidance and decentralised cooperation schemes at mission and trajectory levels
منابع مشابه
The resource-constraint project scheduling problem of the project subcontractors in a cooperative environment: Highway construction case study
Large-scale projects often have several activities which are performed by subcontractors with limited multi-resources. Project scheduling with limited resources is one of the most famous problems in the research operations and optimization cases. The resource-constraint project scheduling problem (RCPSP) is a NP-hard problem in which the activities of a project must be scheduled to reduce the p...
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 کاملA Review on Multi Robot Cooperation Using Bio Inspired Neural Networks
Though widely discussed, multi robot cooperation is a critical and a challenging issue in today’s world. To provide proper cooperation among robots, we not only need to have the communication, but also various different factors such as path planning, searching, collision detection and avoidance, misscommunication and failure of the robots i.e. the multi robot systems must work well under robust...
متن کاملThe Application of Multi-Agent System in Robot Football Game
A robot football game as a typical multi-agent system requires several robots to accomplish a common goal by cooperation in an environment full of real-time antagonism, which provides a rational platform for studying robot cooperation. Through a study of cooperation and application of multi-agent system, this paper applied a real-time agent model to improve teamwork.
متن کاملCrada Ornl 98-0528 Distributing Planning and Control for Teams of Cooperating Mobile Robots
This CRADA project involved the cooperative research of investigators in ORNL’s Center for Engineering Science Advanced Research (CESAR) with researchers at Caterpillar, Inc. The subject of the research was the development of cooperative control strategies for autonomous vehicles performing applications of interest to Caterpillar customers. The project involved three Phases of research, conduct...
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:
- IEEE Robot. Automat. Mag.
دوره 5 شماره
صفحات -
تاریخ انتشار 1998