most citedLong-time Self-body Image Acquisition and its Application to the Control of Musculoskeletal Structures

30 citations · 322 across the 32 of their papers we have counts for

collaborators

32 papers

cs.RO20245 cited

Tool Shape Optimization through Backpropagation of Neural Network

Kento Kawaharazuka, Toru Ogawa, Cota Nabeshima

When executing a certain task, human beings can choose or make an appropriate tool to achieve the task. This research especially addresses the optimization of tool shape for roboti…

cs.RO20247 cited

Dynamic Task Control Method of a Flexible Manipulator Using a Deep Recurrent Neural Network

Kento Kawaharazuka, Toru Ogawa, Cota Nabeshima

The flexible body has advantages over the rigid body in terms of environmental contact thanks to its underactuation. On the other hand, when applying conventional control methods t…

cs.RO202415 cited

Imitation Learning with Additional Constraints on Motion Style using Parametric Bias

Kento Kawaharazuka, Yoichiro Kawamura, Kei Okada +1

Imitation learning is one of the methods for reproducing human demonstration adaptively in robots. So far, it has been found that generalization ability of the imitation learning e…

cs.RO202415 cited

Estimation and Control of Motor Core Temperature with Online Learning of Thermal Model Parameters: Application to Musculoskeletal Humanoids

Kento Kawaharazuka, Naoki Hiraoka, Kei Tsuzuki +5

The estimation and management of motor temperature are important for the continuous movements of robots. In this study, we propose an online learning method of thermal model parame…

cs.RO202410 cited

Adaptive Robotic Tool-Tip Control Learning Considering Online Changes in Grasping State

Kento Kawaharazuka, Kei Okada, Masayuki Inaba

Various robotic tool manipulation methods have been developed so far. However, to our knowledge, none of them have taken into account the fact that the grasping state such as grasp…

cs.RO202422 cited

Object Recognition, Dynamic Contact Simulation, Detection, and Control of the Flexible Musculoskeletal Hand Using a Recurrent Neural Network with Parametric Bias

Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka +4

The flexible musculoskeletal hand is difficult to modelize, and its model can change constantly due to deterioration over time, irreproducibility of initialization, etc. Also, for…