DocumentCode
2595957
Title
Slip compensation for a Mars rover
Author
Helmick, Daniel M. ; Cheng, Yang ; Clouse, Daniel S. ; Bajracharya, Max ; Matthies, Larry H. ; Roumeliotis, Stergios I.
Author_Institution
Jet Propulsion Lab., Pasadena, CA, USA
fYear
2005
fDate
2-2 Aug. 2005
Firstpage
2806
Lastpage
2813
Abstract
A system that enables continuous slip compensation for a Mars rover has been designed, implemented, and field-tested. This system is composed of several components that allow the rover to accurately and continuously follow a designated path, compensate for slippage, and reach intended goals in high-slip environments. These components include: visual odometry, vehicle kinematics, a Kalman filter pose estimator, and a slip compensation/path follower. Visual odometry tracks distinctive scene features in stereo imagery to estimate rover motion between successively acquired stereo image pairs. The vehicle kinematics for a rocker-bogie suspension system estimates motion by measuring wheel rates, and rocker, bogie, and steering angles. The Kalman filter merges data from an inertial measurement unit (IMU) and visual odometry. This merged estimate is then compared to the kinematic estimate to determine how much slippage has occurred, taking into account estimate uncertainties. If slippage has occurred then a slip vector is calculated by differencing the current Kalman filter estimate from the kinematic estimate. This slip vector is then used to determine the necessary wheel velocities and steering angles to compensate for slip and follow the desired path.
Keywords
Kalman filters; Mars; aerospace robotics; distance measurement; mobile robots; motion compensation; motion control; motion estimation; path planning; planetary rovers; position control; robot kinematics; robot vision; slip; suspensions (mechanical components); Kalman filter pose estimator; Mars rover; bogie angle; high-slip environment; inertial measurement unit; path follower; rocker angle; rocker-bogie suspension system; rover motion estimation; rover navigation; scene feature tracking; slip compensation; slip vector; steering angle; stereo image; stereo imagery; uncertainty estimation; vehicle kinematics; visual odometry; wheel rate; Drives; Kinematics; Laboratories; Mars; Motion estimation; Navigation; Propulsion; System testing; Vehicles; Wheels; kalman filter; kinematics; rover navigation; slip compensation; visual odometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Conference_Location
Edmonton, Alta., Canada
Print_ISBN
0-7803-8912-3
Type
conf
DOI
10.1109/IROS.2005.1545178
Filename
1545178
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