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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vallejo, D. Remmler, I. Amato, N.M. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Comput. Syst. Eng., Univ. de las Americas-Puebla, Cholula, Mexico (Vallejo, D.) |
| Abstract | Describes an enhanced version of an adaptive framework for single shot motion planning (Vallejo et al., 2000). This framework is versatile, and particularly suitable for crowded environments. Our iterative strategy analyzes the characteristics of the query and adaptively selects planners whose strengths match the current situation. Contributions in the paper include an automatic method for setting and adaptively tuning planner characterizations, and reducing the reliance on programmer expertise present in the original framework. The adaptive refinement enables the system to evolve parameters specifically suited for particular classes of applications. The system now supports articulated robots, which were not supported previously. Our experimental results in complex 3D CAD environments show that our strategy solves queries that none of the planners could solve on their own. |
| Sponsorship | IEEE Robotics & Autom. Soc |
| Starting Page | 21 |
| Ending Page | 26 |
| File Size | 691360 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780365763 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2001.932524 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-05-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion planning Robot kinematics Robotics and automation Design automation Strategic planning Tree graphs Systems engineering and theory Computer science Tuning Programming profession |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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