The goal of this work is the development of a task-oriented software application that facilitates the rapid deployment of multiple robotic agents. The task solutions are created at run-time and executed by the agents in a centralized or decentralized fashion. Tasks are divided into smaller subtasks which are then assigned to the optimal number of robots using Robot Utility Based Task Assignment (RUTA) algorithm. The system deploys these robots using its application program interfaces (API’s) and uploads programs that are integrated with a small routine code. The embedded routine allows robots to configure solutions when decentralized approach is adopted
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
In this paper we present an asynchronous distributed mechanism for allocating tasks in a team of rob...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
In a swarm robotic system, the desired collective behavior emerges from local decisions made by robo...
Abstract — this article presents a high-level configuration and task assignment software package tha...
Mission-based multi-robot systems (MRS) require the ability to quickly adapt to different missions w...
Complex service robotics scenarios entail unpredictable task appearance both in space and time. This...
In the last ten years, there has been significant interest in applying a swarming paradigm towards t...
ABSTRACT: Many applications benefit from the use of multiple robots, but their scalability and appli...
Swarm robotic systems, unlike traditional multi-robotic systems, deploy number of cost effective rob...
In this paper, we propose a decentralized model and control framework for the assignment and executi...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
Abstract — This paper presents an approach that enables heterogeneous robots to automatically form g...
The AURORA project aims at developing new strategies to take assistive robotics a step further. In o...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
In this paper we present an asynchronous distributed mechanism for allocating tasks in a team of rob...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
In a swarm robotic system, the desired collective behavior emerges from local decisions made by robo...
Abstract — this article presents a high-level configuration and task assignment software package tha...
Mission-based multi-robot systems (MRS) require the ability to quickly adapt to different missions w...
Complex service robotics scenarios entail unpredictable task appearance both in space and time. This...
In the last ten years, there has been significant interest in applying a swarming paradigm towards t...
ABSTRACT: Many applications benefit from the use of multiple robots, but their scalability and appli...
Swarm robotic systems, unlike traditional multi-robotic systems, deploy number of cost effective rob...
In this paper, we propose a decentralized model and control framework for the assignment and executi...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
Abstract — This paper presents an approach that enables heterogeneous robots to automatically form g...
The AURORA project aims at developing new strategies to take assistive robotics a step further. In o...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...
In this paper we present an asynchronous distributed mechanism for allocating tasks in a team of rob...
This paper describes an adaptive task assignment method for a team of fully distributed mobile robot...