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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-09-14
(Primary: On-site, Secondary: Online)
Sampling-based path planning using trajectories obtained by reinforcement learning
Keigo Kamiyama, Kei Ota, Ryosuke Takanami, Asako Kanezaki (Tokyo Tech) PRMU2022-10
We propose a path planning method that considers dynamics constraints by using the past trajectories obtained through re... [more] PRMU2022-10
ICTSSL, IN 2019-10-17
Oita   Evaluation of Wireless Communication Performance Using Q-Learning in Wireless Mesh Network
Takuya Kobayashi, Kentaro Sawa, Takenori Sumi, Kei Ota, Takahisa Yamauchi (Mitsubishi Electric Co.) ICTSSL2019-20 IN2019-34
In the factory monitoring systems and smart meter, the application of wireless mesh network advances to realize no wirin... [more] ICTSSL2019-20 IN2019-34
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