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20202025
most citedA Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks

1 citations · 2 across the 4 of their papers we have counts for

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cs.RO2021★ 1 cited

Task Allocation for Multi-Robot Task and Motion Planning: a case for Object Picking in Cluttered Workspaces

Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni

We present an AND/OR graph-based, integrated multi-robot task and motion planning approach which (i) performs task allocation coordinating the activity of a given number of robots,…

cs.RO2021★ 1 cited

A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks

Hossein Karami, Antony Thomas, Fulvio Mastrogiovanni

We present an approach for Task-Motion Planning (TMP) using Iterative Deepened AND/OR Graph Networks (TMP-IDAN) that uses an AND/OR graph network based novel abstraction for compac…