Title | ||
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State and parameters observation for accurate off-road navigation of wheeled mobile robots |
Abstract | ||
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This paper addresses the problem of accurate and reliable path following of a heavy industrial mobile robot evolving with centimetric accuracy requirement. For this purpose sliding estimation is a crucial issue, even more in off-road context with uneven and slippery terrains. So, we focus on position and sliding observers design in function of the distance covered, thus allowing to carry on maneuvers at any operational speed with constant accuracy. Furthermore, these observers are not affected by path tracking errors. Implementation in simulation demonstrates efficiency of such algorithms. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/ARSO.2015.7428200 | 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO) |
Keywords | Field | DocType |
Sliding Estimation,Extended Kalman Filter,Mobile Robotics | Robot control,Kinematics,Simulation,Computer science,Terrain,Path following,Mobile robot,Path tracking | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eric Lucet | 1 | 2 | 4.48 |
Alain Micaelli | 2 | 98 | 14.12 |