Showing cs.ROShow all
3 papers · 1 filter
cs.RO2024
Variable-Frequency Imitation Learning for Variable-Speed Motion
Nozomu Masuya, Sho Sakaino, Toshiaki Tsuji
Conventional methods of imitation learning for variable-speed motion have difficulty extrapolating speeds because they rely on learning models running at a constant sampling freque…
cs.RO2024
Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning
Hiroshi Sato, Masashi Konosu, Sho Sakaino +1
In recent years, imitation learning using neural networks has enabled robots to perform flexible tasks. However, since neural networks operate in a feedforward structure, they do n…
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…