122 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP19 papers
- The University of OsakaJP6 papers
- Universität für Weiterbildung KremsAT6 papers
- Toyota Central Research and Development Laboratories (Japan)JP5 papers
- University of ExeterGB5 papers
- Toyota Technological InstituteJP4 papers
- University of California, DavisUS4 papers
- University of ViennaAT4 papers
- Nagoya UniversityJP3 papers
- National Institute of Advanced Industrial Science and TechnologyJP3 papers
- The University of MelbourneAU3 papers
- University of LuxembourgLU3 papers
57 papers
PBSR: Pseudo-Burst Super-Resolution via Zero-Shot Novel View Synthesis
Yuki Kondo, Norimichi Ukita
Burst super-resolution (BSR) achieves higher reconstruction fidelity than single-image super-resolution (SISR) by aggregating sub-pixel information from multiple frames. However, i…
Host-Driven Flowlet Balancing with Segment Routing over IPv6
Ryo Nakamura, Hiroki Kano, Tomoko Okuzawa
This paper proposes a fully host-driven method for flowlet balancing with Segment Routing over IPv6 (SRv6). In modern data center networks, load balancing plays a pivotal role in e…
Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
Kota Nakamura, Koki Kawabata, Yasuko Matsubara +1
Given real-time sensor data streams obtained from machines, how can we continuously predict when a machine failure will occur? This work aims to continuously forecast the timing of…
Evaluation of Impression Difference of a Domestic Mobile Manipulator with Autonomous and/or Remote Control in Fetch-and-Carry Tasks
Takashi Yamamoto, Hiroaki Yaguchi, Shohei Kato +1
A single service robot can present two distinct agencies: its onboard autonomy and an operator-mediated agency, yet users experience them through one physical body. We formalize th…
A Primer on Bayesian Parameter Estimation and Model Selection for Battery Simulators
Yannick Kuhn, Masaki Adachi, Micha Philipp +2
Physics-based battery modelling has emerged to accelerate battery materials discovery and performance assessment. Its success, however, is still hindered by difficulties in alignin…
Impact of Lattice Distortions on Magnetocrystalline Anisotropy and Magnetization in (NdPr)FeB Alloys
Haruki Okumura, Takashi Miyake, Taro Fukazawa +6
NdFeB -- a widely used permanent magnet -- has magnetocrystalline anisotropy constants that differ between the bulk and interface regions. This study explores the effe…
ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality
Rohan Walia, Yusheng Wang, Ralf Römer +3
Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardw…
Tailored ordering enables high-capacity cathode materials
Tzu-chen Liu, Adolfo Salgado-Casanova, So Yubuchi +7
Newly designed Li-ion battery cathode materials with high capacity and greater flexibility in chemical composition will be critical for the growing electric vehicles market. Cathod…
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras
Masataka Kobayashi, Shintaro Shiba, Quan Kong +4
With the growing adoption of autonomous driving, the advancement of sensor technology is crucial for ensuring safety and reliable operation. Sensor fusion techniques that combine m…
Stability Recognition with Active Vibration for Bracing Behaviors and Motion Extensions Using Environment in Musculoskeletal Humanoids
Kento Kawaharazuka, Manabu Nishiura, Shinsuke Nakashima +7
Although robots with flexible bodies are superior in terms of the contact and adaptability, it is difficult to control them precisely. On the other hand, human beings make use of t…
Reflex-based Motion Strategy of Musculoskeletal Humanoids under Environmental Contact Using Muscle Relaxation Control
Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka +6
The musculoskeletal humanoid can move well under environmental contact thanks to its body softness. However, there are few studies that actively make use of the environment to rest…
Design Optimization of Musculoskeletal Humanoids with Maximization of Redundancy to Compensate for Muscle Rupture
Kento Kawaharazuka, Yasunori Toshimitsu, Manabu Nishiura +6
Musculoskeletal humanoids have various biomimetic advantages, and the redundant muscle arrangement allowing for variable stiffness control is one of the most important. In this stu…
Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science
Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi +4
Understanding structure-property relationships is an essential yet challenging aspect of materials discovery and development. To facilitate this process, recent studies in material…
Self-Body Image Acquisition and Posture Generation with Redundancy using Musculoskeletal Humanoid Shoulder Complex for Object Manipulation
Yuya Koga, Kento Kawaharazuka, Yasunori Toshimitsu +6
We proposed a method for learning the actual body image of a musculoskeletal humanoid for posture generation and object manipulation using inverse kinematics with redundancy in the…
CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization
Shigemichi Matsuzaki, Kazuhito Tanaka, Kazuhiro Shintani
This letter proposes a method of global localization on a map with semantic object landmarks. One of the most promising approaches for localization on object maps is to use semanti…
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…
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…
Automatic Grouping of Redundant Sensors and Actuators Using Functional and Spatial Connections: Application to Muscle Grouping for Musculoskeletal Humanoids
Kento Kawaharazuka, Manabu Nishiura, Yuya Koga +6
For a robot with redundant sensors and actuators distributed throughout its body, it is difficult to construct a controller or a neural network using all of them due to computation…
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…
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…
Musculoskeletal AutoEncoder: A Unified Online Acquisition Method of Intersensory Networks for State Estimation, Control, and Simulation of Musculoskeletal Humanoids
Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka +4
While the musculoskeletal humanoid has various biomimetic benefits, the modeling of its complex structure is difficult, and many learning-based systems have been developed so far.…
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…
Long-time Self-body Image Acquisition and its Application to the Control of Musculoskeletal Structures
Kento Kawaharazuka, Kei Tsuzuki, Shogo Makino +5
The tendon-driven musculoskeletal humanoid has many benefits that human beings have, but the modeling of its complex muscle and bone structures is difficult and conventional model-…
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks
Yuma Shida, Tomohiko Jimbo, Tadashi Odashima +1
Multi-object transport using multi-robot systems has the potential for diverse practical applications such as delivery services owing to its efficient individual and scalable coope…