Abstract

AbstractWe introduce a prototype flying platform for planetary exploration: autonomous robot design for extraterrestrial applications (ARDEA). Communication with unmanned missions beyond Earth orbit suffers from time delay, thus a key criterion for robotic exploration is a robot's ability to perform tasks without human intervention. For autonomous operation, all computations should be done on‐board and Global Navigation Satellite System (GNSS) should not be relied on for navigation purposes. Given these objectives ARDEA is equipped with two pairs of wide‐angle stereo cameras and an inertial measurement unit (IMU) for robust visual‐inertial navigation and time‐efficient, omni‐directional 3D mapping. The four cameras cover a vertical field of view, enabling the system to operate in confined environments such as caves formed by lava tubes. The captured images are split into several pinhole cameras, which are used for simultaneously running visual odometries. The stereo output is used for simultaneous localization and mapping, 3D map generation and collision‐free motion planning. To operate the vehicle efficiently for a variety of missions, ARDEA's capabilities have been modularized into skills which can be assembled to fulfill a mission's objectives. These skills are defined generically so that they are independent of the robot configuration, making the approach suitable for different heterogeneous robotic teams. The diverse skill set also makes the micro aerial vehicle (MAV) useful for any task where autonomous exploration is needed. For example terrestrial search and rescue missions where visual navigation in GNSS‐denied indoor environments is crucial, such as partially collapsed man‐made structures like buildings or tunnels. We have demonstrated the robustness of our system in indoor and outdoor field tests.

Highlights

  • In recent years, micro aerial vehicle (MAV) have experienced an increased attention in the consumer market, in industrial applications and in robotics research

  • Recent technology in simultaneous localization and mapping (SLAM) and volumetric mapping have paved the way for MAVs to be used in virtual reality (VR) and augmented reality (AR) applications, where an important feature of such systems is a stereo camera rig with a large field of view (FOV)

  • Global planning solutions as an important system criterion, since autonomous robot design for extraterrestrial applications (ARDEA)'s objective is exploration and ARDEA is subject to nontrivial system dynamics

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Summary

| INTRODUCTION

MAVs have experienced an increased attention in the consumer market, in industrial applications and in robotics research. In addition to navigation purposes, cameras can be used for higher level mission tasks, such as scientific inspection of the environment or even taking selfies. This was done by the Curiosity rover team (Maki et al, 2012) and provided a convenient means of inspecting the rover itself. Reusing modular software and hardware components across all systems reduces the complexity and effort in designing a robotic team.

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Findings
| Future work
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