3 papers
cs.RO2023
Real-time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes
Kenjiro Yamamoto, Hiroshi Ito, Hideyuki Ichiwara +2
While deep learning enables real robots to perform complex tasks had been difficult to implement in the past, the challenge is the enormous amount of trial-and-error and motion tea…
cs.RO2022
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use
Hyogo Hiruma, Hiroshi Ito, Hiroki Mori +1
Sufficiently perceiving the environment is a critical factor in robot motion generation. Although the introduction of deep visual processing models have contributed in extending th…
cs.RO2021
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto +2
We achieved contact-rich flexible object manipulation, which was difficult to control with vision alone. In the unzipping task we chose as a validation task, the gripper grasps the…