Collaborated with:Haifeng Han G.Paul Yunduan Cui James Poon Yu Norinaga Yuto Ozawa Lingwei Zhu Morihiro Fujisaki Hiroaki Kanokogi Yujun Lai T.Kaneko Yoshihisa Tsurumine Yukio Onuki Yingda Dai Kaoru Kawabata
Talks about:model (3) transfer (2) polici (2) object (2) linear (2) deform (2) plant (2) learn (2) dynam (2) probabilist (1)
Person: Takamitsu Matsubara
DBLP: Matsubara:Takamitsu
Contributed to:
201720182019Wrote 5 papers:
- CASE-2017-HanPM #approach #learning #linear #modelling
- Model-based reinforcement learning approach for deformable linear object manipulation (HH, GP, TM), pp. 750–755.
- CASE-2018-CuiZFKM #kernel #policy #programming
- Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control (YC, LZ, MF, HK, TM), pp. 304–309.
- CASE-2018-LaiPPHM #estimation #linear #probability
- Probabilistic Pose Estimation of Deformable Linear Objects (YL, JP, GP, HH, TM), pp. 471–476.
- CASE-2018-MatsubaraNOC #analysis #component #policy #simulation
- Policy Transfer from Simulations to Real World by Transfer Component Analysis (TM, YN, YO, YC), pp. 264–269.
- CASE-2019-KanekolTPODKM #image #learning #modelling #process
- Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data (TK, YT, JP, YO, YD, KK, TM), pp. 873–878.