Alexander Liesch

TU Dresden

Papers

1

Total Citations

2

H-Index

1

About

Alexander Liesch is a leading researcher in autonomous navigation for planetary exploration, specializing in the integration of artificial neural networks (ANNs) into robotic space missions. His work focuses on developing robust AI frameworks capable of handling the extreme, unstructured terrains of extraterrestrial environments. Liesch’s major contribution is the creation of an AI-Development-Framework (AIDF) that streamlines the generation of 2D and 3D training data and establishes comprehensive workflows for developing, training, and validating ANNs for navigation. This framework directly addresses the critical challenge of enabling spacecraft and rovers to operate autonomously in irregular planetary landscapes without real-time human guidance. His most-cited paper, "2D and 3D Data Generation and Workflow for AI-based Navigation on Unstructured Planetary Surfaces" (2024), has already garnered 2 citations, signaling growing recognition in the field. Liesch’s work is notable for bridging the gap between theoretical AI advances and practical, mission-ready applications, positioning him as a key innovator in the future of autonomous space exploration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
2D and 3D Data Generation and Workflow for AI-based Navigation on Unstructured Planetary Surfaces
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: TU Dresden

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago