Controlling an Intelligent Excavator for Autonomous Digging in Difficult Ground
Derek Seward, David Bradley, Jim Mann, Mark R. Goodwin
- Year
- 1992
- Citations
- 29
- Access
- Open access
Abstract
This paper reports on the recent advances made in developing an autonomous robot excavator. Previous work on a fifth-scale model was reported at earlier symposia, but the technology has now been transferred to a real excavator -LUCIE -Lancaster University Computerised Intelligent Excavator. The paper concentrates on the architecture of the software control which enables the machine to modify its behaviour to cope with highly varying ground conditions. A single powerful processor controls the low-level motion of the excavator arm, as well as high level tactical and strategic behaviour. An A.I. rule-based approach has been adopted for high-level functions. Successful field trials are reported.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991