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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Walter, M.R. Karaman, S. Frazzoli, E. Teller, S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, USA (Karaman, S.; Frazzoli, E.) || Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA (Walter, M.R.; Teller, S.) |
| Abstract | This paper addresses the problem of autonomous manipulation of a priori unknown palletized cargo with a robotic lift truck (forklift). Specifically, we describe coupled perception and control algorithms that enable the vehicle to engage and place loaded pallets relative to locations on the ground or truck beds. Having little prior knowledge of the objects with which the vehicle is to interact, we present an estimation framework that utilizes a series of classifiers to infer the objects' structure and pose from individual LIDAR scans. The classifiers share a low-level shape estimation algorithm that uses linear programming to robustly segment input data into sets of weak candidate features. We present and analyze the performance of the segmentation method, and subsequently describe its role in our estimation algorithm. We then evaluate the performance of a motion controller that, given an estimate of a pallet's pose, is employed to safely engage each pallet. We conclude with a validation of our algorithms for a set of real-world pallet and truck interactions. |
| Starting Page | 5119 |
| Ending Page | 5126 |
| File Size | 2284726 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424466740 |
| ISSN | 21530866 |
| e-ISBN | 9781424466764 |
| DOI | 10.1109/IROS.2010.5652377 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-18 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Laser radar Estimation Geometry Lasers Robots Vehicles |
| Content Type | Text |
| Resource Type | Article |
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