8 citations · 8 across the 1 of their papers we have counts for
2 papers
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…
eess.SP2019
Model Predictive Control of Shallow Drowsiness: Improving Productivity of Office Workers
Takuma Kogo, Masanori Tsujikawa, Yukihiro Kiuchi +2
This paper proposes a methodology of model predictive control for alleviating shallow drowsiness of office workers and thus improving their productivity. The methodology is based o…