most citedFast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route

8 citations · 12 across the 2 of their papers we have counts for

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cs.RO2021★ 8 cited

Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route

Takuma Kogo, Kei Takaya, Hiroyuki Oyama

We present new models of optimization-based task and motion planning (TAMP) for robotic pick-and-place (P&P), which plan action sequences and motion trajectory with low computation…