Presentation
Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems
| Author/s | Pérez Hurtado de Mendoza, Ignacio
Martínez del Amor, Miguel Ángel Zhang, Gexiang Neri, Ferrante Pérez Jiménez, Mario de Jesús
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| Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
| Publication Date | 2019 |
| Deposit Date | 2021-11-24 |
| Published in |
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| Abstract | Solving the feasibility problem in robotic motion planning means to
find feasible trajectories for specific mobile robots acting in environments with
obstacles whose positions are known a priori. The Rapidly-exploring ... |
| Funding agencies | Ministerio de Economia, Industria y Competitividad (MINECO). España |
| Project ID. | TIN2017-89842-P
 |
| Citation | Pérez Hurtado de Mendoza, I., Martínez del Amor, M.Á., Zhang, G., Neri, F. y Pérez Jiménez, M.d.J. (2019). Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems. En ACMC 2019: The 8th Asian Conference on Membrane Computing (152-165), Xiamen, China: IMCS: International Membrane Computing Society. |
| Files | Size | Format | View | Description |
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| ACMC2019.pdf | 7.182Mb | 
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