The LRU Rover for Autonomous Planetary Exploration and Its Success in the SpaceBotCamp Challenge
Authors:
- Martin J. SchusterMSMartin J. Schuster
- Christoph BrandCBChristoph Brand
- Sebastian G. BrunnerSBSebastian G. Brunner
- Peter LehnerPLPeter Lehner
- Josef ReillJRJosef Reill
- Sebastian RiedelSRSebastian Riedel
- Tim BodenmullerTBTim Bodenmuller
- Kristin BussmannKBKristin Bussmann
- Stefan ButtnerSBStefan Buttner
- Andreas DomelADAndreas Domel
- Werner FriedlWFWerner Friedl
- Iris GrixaIGIris Grixa
- 15 December 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 7-14
Abstract
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. 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.Keywords
This publication has 13 references indexed in Scilit:
- Multi-robot 6D graph SLAM connecting decoupled local reference filters2015
- Stereo-vision based obstacle mapping for indoor/outdoor SLAM2014
- Towards Coordinated Multirobot Missions for Lunar Sample Collection in an Unknown EnvironmentJournal of Field Robotics, 2013
- Mobile Payload Element (MPE): Concept study for a sample fetching rover for the ESA Lunar Lander MissionPlanetary and Space Science, 2012
- State estimation for highly dynamic flying systems using key frame odometry with varying time delays2012
- iSAM2: Incremental smoothing and mapping using the Bayes treeThe International Journal of Robotics Research, 2011
- Stereo Processing by Semiglobal Matching and Mutual InformationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
- Optimal Hand-Eye Calibration2006
- Fast, unconstrained camera motion estimation from stereo without tracking and robust statistics2004
- Autonomous rovers for Mars exploration1999