Abstract: Methods and apparatus for automatic material classification use proprioceptive sensing data acquired from equipment interacting with the material. Embodiments enable automatic material identification with low operational complexity and computational overhead. Automatic material classification may be used to improve autonomous operation of robotic excavators, as well as provide useful knowledge about excavation materials (e.g., rock size distribution) in fields such as civil and mining operations, military operations, aggregate material handling and processing, and space exploration and development to improve downstream processing and operations.

Abstract: Known georeferencing techniques require input in the form of manually-chosen anchor points or dense surveyed data. The present invention is an improved method and system for georeferencing underground geometric data. The method comprises (a) visiting at least two control points; (b) obtaining information about each of the at least two control points using scanning means; (c) recording the information about the at least two control points into a computer processor; and (d) performing a best-fit transformation to the recorded information. Preferably, the scanning means comprises laser scanners and at least two radio-frequency identification (RFID) tags. However, other technologies, such as retro-reflective LIDAR targets, Wi-Fi access points or bar codes and a bar code reader may also be used. In addition, sonar, radar, flash LIDAR, MEMS LIDAR, or any other similar technology could be used.

Abstract: Known georeferencing techniques require input in the form of manually-chosen anchor points or dense surveyed data. The present invention is an improved method and system for georeferencing underground geometric data. The method comprises (a) visiting at least two control points; (b) obtaining information about each of the at least two control points using scanning means; (c) recording the information about the at least two control points into a computer processor; and (d) performing a best-fit transformation to the recorded information. Preferably, the scanning means comprises laser scanners and at least two radio-frequency identification (RFID) tags. However, other technologies, such as retro-reflective LIDAR targets, Wi-Fi access points or bar codes and a bar code reader may also be used. In addition, sonar, radar, flash LIDAR, MEMS LIDAR, or any other similar technology could be used.