Hybrid Systems in Robotics
| Autor: | Haomiao Huang, Jerry Ding, Michael P. Vitus, Wei Zhang, Jeremy H. Gillula, Claire J. Tomlin |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Engineering
business.industry Probabilistic logic Robotics Mobile robot Control engineering Nonlinear control Computer Science Applications Robot control Range (mathematics) Control and Systems Engineering Hybrid system Motion planning Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | IEEE Robotics & Automation Magazine. 18:33-43 |
| ISSN: | 1070-9932 |
| Popis: | Robotics has provided the motivation and inspiration for many innovations in planning and control. From nonholonomic motion planning [1] to probabilistic road maps [2], from capture basins [3] to preimages [4] of obstacles to avoid, and from geometric nonlinear control [5], [6] to machine-learning methods in robotic control [7], there is a wide range of planning and control algorithms and methodologies that can be traced back to a perceived need or anticipated benefit in autonomous or semiautonomous systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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