Portable Sensor Motes as a Distributed Communication Medium for Large Groups of Mobile Robots
نویسندگان
چکیده
We argue for the use of swarms of distributed portable sensors as a support medium for a large number of autonomous mobile robots. Because of the scaling issues inherent in their multiplicity, and because they may operate in broadcast-denied environments, swarm robot architectures often focus on local and “indirect” communication methods such as breadcrumbs, pheromones, or messages left in the environment. We are interested in how far we can go with these models in real robots. To this end, our research investigates robots capable of deploying, retrieving, moving, and locally communicating with many embedded sensor motes. The mobile agents deploy and optimize the location of the motes, read historic and current sensor data from them, and store useful local information in them for other mobile agents to discover later. We have demonstrated the ability to do robot foraging in environments with significant noise and physical disruption, such as might occur in any deployment of a large sensor network. We have also demonstrated experiments using swarms and sensor motes to collectively build sophisticated, non-trivial swarm behaviors, such as laying out complex shapes using compass/straightedge geometry. In this paper we discuss these results and their limitations, and indicate where we think wireless sensor mote technology can help advance swarm robotics going forward.
منابع مشابه
Swarm Robot Foraging with Wireless Sensor Motes
We investigate the use of wireless sensor motes as mobile deployable waypoints for swarm robot navigation in a foraging scenario. Each robot can deploy, retrieve, and optimize the location of the sensor motes. After deployment, the robots treat the sensor motes as nodes in a sparse graph, and store and retrieve multiple pheromones and flags locally in each of them. Pheromone information stored ...
متن کاملLocalization and Navigation Assisted by Networked Cooperating Sensors and Robots Localization and Navigation Assisted by Networked Cooperating Sensors and Robots
In this paper we discuss how a network of sensors and robots can cooperate to solve important robotics problems such as localization and navigation. We use a robot to localize sensor nodes, and we then use these localized nodes to navigate robots and humans through the sensorized space. We explore these novel ideas with results from two large-scale sensor network and robot experiments involving...
متن کاملA New Approach to Self-Localization for Mobile Robots Using Sensor Data Fusion
This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...
متن کاملLocalization and Navigation Assisted by Networked Cooperating Sensors and Robots
In this paper we discuss how a network of sensors and robots can cooperate to solve important robotics problems such as localization and navigation. We use a robot to localize sensor nodes, and we then use these localized nodes to navigate robots and humans through the sensorized space. We explore these novel ideas with results from two large-scale sensor network and robot experiments involving...
متن کاملRepresenting a Model for Improving Connectivity and Power Dissipation in Wireless Networks Using Mobile Sensors
Wireless sensor networks are often located in areas where access to them is difficult or dangerous. Today, in wireless sensor networks, cluster-based routing protocols by dividing sensor nodes into distinct clusters and selecting local head-clusters to combine and send information of each cluster to the base station and balanced energy consumption by network nodes, get the best performance ...
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 2016