This raises questions about the robots' division of labor and workload balance that can be difficult to address when sample information is not stored centrally.

Feb 1, 2014 · Non-homogeneity is captured by repeatedly dividing the field representation in a recursive manner, while maintaining the continuity of the field ...

Similarly, the recursive geometric subdivision was proposed to monitor a spatial temporal sensitive area [19] . A Voronoi-based coverage control is closely ...

This raises questions about the robots' division of labor and workload balance that can be difficult to address when sample information is not stored centrally.

Bibliographic details on Distributed robotic sampling of non-homogeneous spatio-temporal fields via recursive geometric sub-division.

This raises questions about the robots' division of labor and workload balance that can be difficult to address when sample information is not stored centrally.

Distributed Robotic Sampling of Non-homogeneous Spatio-Temporal Fields via Recursive Geometric Sub-division. YH Kim, DA Shell. IEEE International Conference on ...

Shell "Distributed Robotic Sampling of Non-homogeneous Spatio-Temporal Fields via Recursive Geometric Sub-division" IEEE International Conference on ...

Distributed Robotic Sampling of Non-homogeneous SpatioTemporal Fields via Recursive Geometric Sub-division Conference Paper. Publication Date: 2014. TAMU ...

Distributed robotic sampling of non-homogeneous spatio-temporal fields via recursive geometric sub-division · Young-Ho Kim; Dylan A. Shell. Published on 29 Sep ...