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Multi-objective cost-to-go functions on robot navigation in dynamic environments

AutorFerrer, Gonzalo ; Sanfeliu, Alberto
Fecha de publicación2015
EditorInstitute of Electrical and Electronics Engineers
CitaciónIROS 2015
ResumenIn our previous work we introduced the Anticipative Kinodynamic Planning (AKP): a robot navigation algorithm in dynamic urban environments that seeks to minimize its disruption to nearby pedestrians. In the present paper, we maintain all the advantages of the AKP, and we overcome the previous limitations by presenting novel contributions to our approach. Firstly, we present a multi-objective cost function to consider different and independent criteria and a well-posed procedure to build a joint cost function in order to select the best path. Then, we improve the construction of the planner tree by introducing a cost-to-go function that will be shown to outperform a classical Euclidean distance approach. In order to achieve real time calculations, we have used a steering heuristic that dramatically speeds up the process. Plenty of simulations and real experiments have been carried out to demonstrate the success of the AKP.
DescripciónTrabajo presentado a la International Conference on Intelligent Robots and Systems, celebrada en Hamburgo (Alemania) del 28 de septiembre al 2 de octubre de 2015.
Versión del editorhttp://dx.doi.org/10.1109/IROS.2015.7353914
Identificadoresdoi: 10.1109/IROS.2015.7353914
Aparece en las colecciones: (IRII) Comunicaciones congresos
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