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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ishigami, G. Pineda, E. Overholt, J. Hudas, G. Iagnemma, K. |
| Copyright Year | 2011 |
| Description | Author affiliation: U.S. Army Tank Automotive Research, Development and Engineering Center (TARDEC), Warren, MI 48397, USA (Overholt, J.; Hudas, G.) || Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, 3-1-1 Yoshinodai, Sagamihara, 252-5210, JAPAN (Ishigami, G.) || Laboratory for Manufacturing and Productivity, MIT, Cambridge, MA 02139 USA (Pineda, E.; Iagnemma, K.) |
| Abstract | In this paper an omnidirectional mobile robot that possesses high mobility in rough terrain is presented. The omnidirectional robot has four active split offset caster (ASOC) modules, enabling the robot to move in any planar direction. It also possesses passive suspension articulation, allowing the robot to conform to uneven terrain. The agility of the robot is experimentally evaluated in various configurations. In addition, an odometry method that mitigates position estimation error due to wheel slippage is proposed. A key aspect of the proposed method is to utilize sensory data of wheel velocity, and turning rate around each ASOC pivot shaft, along with kinematic constraints of the robot configuration. Experimental odometry tests with different maneuvers in rough terrain are presented that confirm the utility of the proposed method. |
| Starting Page | 4091 |
| Ending Page | 4096 |
| File Size | 1998654 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6094585 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wheels Mobile robots Robot kinematics Suspensions Kinematics Vehicles |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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