Multi-agent Environment Exploration with AR.Drones

نویسندگان

  • Richard Williams
  • Boris Konev
  • Frans Coenen
چکیده

This paper describes work on a framework for multi-agent research using low cost Micro Aerial Vehicles (MAV’s). In the past this type of research has required significant investment for both the vehicles themselves and the infrastructure necessary to safely conduct experiments. We present an alternative solution using a robust, low cost, off the shelf platform. We demonstrate the capabilities of our system via two typical multi-robot tasks: obstacle avoidance and exploration. Developing multi-agent applications safely and quickly can be difficult using hardware alone, to address this we also present a multi-quadcopter simulation based around the Gazebo 3D simulator.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Multi-Agent Approach to Environment Exploration

Exploration is a central issue for autonomous agents which must carry out navigation tasks in environments of which a description is not known a priori. In our approach the environment is described, from a symbolic point of view, by means of a graph; clustering techniques allow for further levels of abstraction to be de ned, leading to a multi-layered representation. In this work we propose an ...

متن کامل

Unsupervised Multi-Agent Exploration of Structured Environments

Exploration is a central issue for autonomous agents which must carry out navigation tasks in environments whose description is not known a priori. In our approach the environment is described, from a symbolic point of view, by means of a graph; clustering techniques allow for further levels of abstraction to be defined, leading to a multi-layered representation. In this work we propose an unsu...

متن کامل

A Proposed Methodology for Behaviour-based Multi-agent Q- Learning for Autonomous Exploration

With the advancement of robotic explorations in diversified fields (like planetary exploration, exploration in Antartica, military applications for mine detection, surveillance and rescue) autonomous exploration has become popular for exploration in unknown and unstructured environments. To help such explorations in fully unknown environments robot learning is very useful. Out of various well-k...

متن کامل

Exploration Potential

We introduce exploration potential, a quantity for that measures how much a reinforcement learning agent has explored its environment class. In contrast to information gain, exploration potential takes the problem’s reward structure into account. This leads to an exploration criterion that is both necessary and sufficient for asymptotic optimality (learning to act optimally across the entire en...

متن کامل

Flocking-Based Multi-Robot Exploration

Exploration of an unknown environment is one of the major applications of Multi-Robot Systems. Many works have proposed multi-robot coordination algorithms to accomplish exploration missions based on multi-agent systems techniques. Some of these works particularly focus on multi-robot exploration under communication constraint. In this paper, we propose a solution based on flocking rules in ord...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014