3 papers
cs.RO2024
Loss Function Considering Dead Zone for Neural Networks
Koki Inami, Koki Yamane, Sho Sakaino
It is important to reveal the inverse dynamics of manipulators to improve control performance of model-based control. Neural networks (NNs) are promising techniques to represent co…
cs.RO2024
Imitation Learning Inputting Image Feature to Each Layer of Neural Network
Koki Yamane, Sho Sakaino, Toshiaki Tsuji
Imitation learning enables robots to learn and replicate human behavior from training data. Recent advances in machine learning enable end-to-end learning approaches that directly…
eess.SP2021
Force control of grinding process based on frequency analysis
Yuya Nogi, Sho Sakaino, Toshiaki Tsuji
Hysteresis-induced drift is a major issue in the detection of force induced during grinding and cutting operations. In this paper, we propose an external force estimation method ba…