On February 23, 2019, we held the open campus for students.
There were a lot of students who came to visit, and it was a great success.
We hope that you take our university exam and come to our laboratory.
Open Campus (Takayama Science Town Festival) was held in NAIST on November 11(Sun.).
We conducted following two demonstrations:
・ Robot Learned from Experiments
・ Motion Control of Two-wheeled Inverted Pendulum Robot
Besides, the experience-based event entitled "Play with robots!" was conducted in Millennium Hall.
In this event, we conducted "candy picking with double-arm robot" or "Air ho...
Assistant Professor Yunduan Cui et al. received the best paper award at the 28th Annual Conference of the Japanese Neural Network Society (JNNS2018) which was held from October 24th to 27th at Okinawa Institute of Science and Technology (OIST) for their work published in Neural Networks:
Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
“Kernel dynamic policy programming: Applicable reinforcem...
Tadenuma(M2) chosen as a finalist of the IFAC Young Author Award at the 5th IFAC Conference on Analysis and Control of Chaotic Systems(CHAOS2018).
T. Tadenuma, M. Ogura, and K. Sugimoto,
"Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling,"
Preprints, 5th IFAC Conference on Analysis and Control of Chaotic Systems, pp. 197--202,
Eindhoven, The ...
We presented at "SICE Annual Conference 2018" which held in Nara Kasugano International Forum.
X. Han, W. Imahayashi, K. Sugimoto,
“A Case Study of SISO Feedback Error Learning Control With/without a Strictly Positive Real Condition”,
SICE Annual Conference 2018, pp. 17–22, Nara, 2018.9.11-14 (2017.9.12).
W. Imahayashi, K. Sugimoto,
“Feedback Error Learning Control against Temporal Se...
Yokogawa Electric Corporation and our lab announce that we have jointly developed a reinforcement learning algorithm that can be utilized for the automatic optimization of plant operations.
Links to the articles：
・Yokogawa Electric Corporation
・Nikkei Asian Review
We held a summer seminar on Aug. 6th and 7th.
The student learned the foundation of Consensus Control.
Also, in practical training, the student implemented the algorithm and successfully built consensus in simulation!
Thank you very much for your participation.