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

30 citations · 245 across the 29 of their papers we have counts for

collaborators

29 papers

cs.RO202410 cited

Real-World Cooking Robot System from Recipes Based on Food State Recognition Using Foundation Models and PDDL

Naoaki Kanazawa, Kento Kawaharazuka, Yoshiki Obinata +2

Although there is a growing demand for cooking behaviours as one of the expected tasks for robots, a series of cooking behaviours based on new recipe descriptions by robots in the…

cs.RO2024

Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa +2

In order for robots to autonomously navigate and operate in diverse environments, it is essential for them to recognize the state of their environment. On the other hand, the envir…

cs.RO202416 cited

Dynamic Cloth Manipulation Considering Variable Stiffness and Material Change Using Deep Predictive Model with Parametric Bias

Kento Kawaharazuka, Akihiro Miki, Masahiro Bando +2

Dynamic manipulation of flexible objects such as fabric, which is difficult to modelize, is one of the major challenges in robotics. With the development of deep learning, we are b…

cs.RO202417 cited

Robust Continuous Motion Strategy Against Muscle Rupture using Online Learning of Redundant Intersensory Networks for Musculoskeletal Humanoids

Kento Kawaharazuka, Manabu Nishiura, Yasunori Toshimitsu +5

Musculoskeletal humanoids have various biomimetic advantages, of which redundant muscle arrangement is one of the most important features. This feature enables variable stiffness c…

cs.RO20241 cited

Human-mimetic binaural ear design and sound source direction estimation for task realization of musculoskeletal humanoids

Yusuke Omura, Kento Kawaharazuka, Yuya Nagamatsu +7

Human-like environment recognition by musculoskeletal humanoids is important for task realization in real complex environments and for use as dummies for test subjects. Humans inte…

cs.RO20244 cited

Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes

Kento Kawaharazuka, Kei Okada, Masayuki Inaba

When a robot executes a task, it is necessary to model the relationship among its body, target objects, tools, and environment, and to control its body to realize the target state.…