Papers
2
Total Citations
5
H-Index
2
About
L. Rastel is a researcher specializing in autonomous navigation for planetary exploration, with a focus on enabling rovers to traverse cluttered, unknown environments without direct human intervention. Their major contributions include developing a continuous path planning method that merges gradient navigation maps from stereo vision data, allowing rovers to dynamically adjust trajectories as perception data updates during movement. This work, presented in "Rover continuous path planning using merged perceptions" (2002, 3 citations), laid foundational techniques for real-time obstacle avoidance. Rastel further advanced this field through their work at CNES, designing an autonomous navigation system that enables exploration rovers to reach distant targets with minimal remote operation—a critical capability given the communication delays inherent in space missions. This system, detailed in "Robotic planetary exploration: autonomous navigation in cluttered unknown environments" (2012, 2 citations), demonstrates practical solutions for robust, self-guided mobility on other worlds. Though their citation counts are modest, Rastel’s contributions are notable for addressing core challenges in space robotics, directly supporting future missions that require reliable, autonomous traversal of hazardous terrain.
Research Focus
Key Achievements
Top Papers
- 1Rover continuous path planning using merged perceptions3 citations · 2002
- 2