Learning Applied to Ground Robots (LAGR) at Penn

LAGR is a DARPA-sponsored research project whose aim is to investigate the role of learning in next-generation autonomous navigation systems.

Principal investigator: Daniel Lee

DARPA site

Presentations

LAGR PI Meeting, 6-month status update: 5 May 2005

LAGR PI Meeting, 12-month status update: 5 November 2005

NIPS 2005 workshop on machine learning-based robotics in unstructured environments: pose estimation in LAGR

Code releases

Test 8 code