66 citations · 96 across the 6 of their papers we have counts for
6 papers
Environmentally Adaptive Control Including Variance Minimization Using Stochastic Predictive Network with Parametric Bias: Application to Mobile Robots
Kento Kawaharazuka, Koki Shinjo, Yoichiro Kawamura +2
In this study, we propose a predictive model composed of a recurrent neural network including parametric bias and stochastic elements, and an environmentally adaptive robot control…
Task-specific Self-body Controller Acquisition by Musculoskeletal Humanoids: Application to Pedal Control in Autonomous Driving
Kento Kawaharazuka, Kei Tsuzuki, Shogo Makino +6
The musculoskeletal humanoid has many benefits that human beings have, but the modeling of its complex flexible body is difficult. Although we have developed an online acquisition…
Component Modularized Design of Musculoskeletal Humanoid Platform Musashi to Investigate Learning Control Systems
Kento Kawaharazuka, Shogo Makino, Kei Tsuzuki +8
To develop Musashi as a musculoskeletal humanoid platform to investigate learning control systems, we aimed for a body with flexible musculoskeletal structure, redundant sensors, a…
Toward Autonomous Driving by Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software
Kento Kawaharazuka, Kei Tsuzuki, Yuya Koga +9
This paper summarizes an autonomous driving project by musculoskeletal humanoids. The musculoskeletal humanoid, which mimics the human body in detail, has redundant sensors and a f…
Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots using Pre-Trained Large-Scale Vision-Language Model
Yoshiki Obinata, Kento Kawaharazuka, Naoaki Kanazawa +7
It is important for daily life support robots to detect changes in their environment and perform tasks. In the field of anomaly detection in computer vision, probabilistic and deep…
Automatic Diary Generation System including Information on Joint Experiences between Humans and Robots
Aiko Ichikura, Kento Kawaharazuka, Yoshiki Obinata +3
In this study, we propose an automatic diary generation system that uses information from past joint experiences with the aim of increasing the favorability for robots through shar…