An autonomous sensor-based path-planner for planetary microrovers
- 20 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10504729) , 347-354
- https://doi.org/10.1109/robot.1999.770003
Abstract
With the success of Mars Pathfinder's Sojourner rover, a new era of planetary exploration has opened, with demand for highly capable mobile robots. These robots must be able to traverse long distances over rough, unknown terrain autonomously, under severe resource constraints. This paper reviews issues which are critical for successful autonomous navigation of planetary rovers. We report on the "Wedgebug" algorithm for planetary rover navigation. This algorithm is complete, correct, requires minimal memory for storage of its world model, and uses only on-board sensors, which are guided by the algorithm to efficiently sense only the data needed for motion planning. The implementation of a version of Wedgebug on the Rocky7 Mars rover prototype at the Jet Propulsion Laboratory is described, and experimental results from operation in simulated martian terrain are presented.Keywords
This publication has 7 references indexed in Scilit:
- The Rocky 7 Mars rover prototypePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimal and efficient path planning for partially-known environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Construction of C-space roadmaps from local sensory data-what should the sensors look for?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An autonomous path planner implemented on the Rocky 7 prototype microroverPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Experiences with operations and autonomy of the Mars Pathfinder MicroroverPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Maximum likelihood rover localization by matching range mapsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robot Motion PlanningPublished by Springer Nature ,1991