The LRU Rover for Autonomous Planetary Exploration and its Success in the SpaceBotCamp Challenge

被引:12
|
作者
Schuster, Martin J. [1 ]
Brand, Christoph [1 ]
Brunner, Sebastian G. [1 ]
Lehner, Peter [1 ]
Reill, Josef [1 ]
Riedel, Sebastian [1 ]
Bodenmueller, Tim [1 ]
Bussmann, Kristin [1 ]
Buettner, Stefan [1 ]
Doemel, Andreas [1 ]
Friedl, Werner [1 ]
Grixa, Iris [1 ]
Hellerer, Matthias [1 ]
Hirschmueller, Heiko [2 ]
Kassecker, Michael [1 ]
Marton, Zoltan-Csaba [1 ]
Nissler, Christian [1 ]
Ruess, Felix [2 ]
Suppa, Michael [2 ]
Wedler, Armin [1 ]
机构
[1] German Aerosp Ctr DLR, RMC, Munchner Str 20, D-82234 Wessling, Germany
[2] Robocept GmbH, Kaflerstr 2, D-81241 Munich, Germany
关键词
D O I
10.1109/ICARSC.2016.62
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The task of planetary exploration poses many challenges for a robot system, from weight and size constraints to sensors and actuators suitable for extraterrestrial environment conditions. As there is a significant communication delay to other planets, the efficient operation of a robot system requires a high level of autonomy. In this work, we present the Light Weight Rover Unit (LRU), a small and agile rover prototype that we designed for the challenges of planetary exploration. Its locomotion system with individually steered wheels allows for high maneuverability in rough terrain and the application of stereo cameras as its main sensor ensures the applicability to space missions. We implemented software components for self-localization in GPS-denied environments, environment mapping, object search and localization and for the autonomous pickup and assembly of objects with its arm. Additional high-level mission control components facilitate both autonomous behavior and remote monitoring of the system state over a delayed communication link. We successfully demonstrated the autonomous capabilities of our LRU at the SpaceBotCamp challenge, a national robotics contest with focus on autonomous planetary exploration. A robot had to autonomously explore a moon-like rough-terrain environment, locate and collect two objects and assemble them after transport to a third object - which the LRU did on its first try, in half of the time and fully autonomous.
引用
收藏
页码:7 / 14
页数:8
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